diff --git a/docs/docs/natural-language-processing/useSpeechToText.md b/docs/docs/natural-language-processing/useSpeechToText.md
index dd5b751d1b..27d7b60355 100644
--- a/docs/docs/natural-language-processing/useSpeechToText.md
+++ b/docs/docs/natural-language-processing/useSpeechToText.md
@@ -92,20 +92,27 @@ Specifies config for both `overlapSeconds` and `windowSize` values. Three option
 
 ### Returns
 
-| Field                | Type                                                                                                                     | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
-| -------------------- | ------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| `transcribe`         | `(input: number[], audioLanguage?: SpeechToTextLanguage) => Promise<string>`                                             | Starts a transcription process for a given input array, which should be a waveform at 16kHz. Resolves a promise with the output transcription when the model is finished. For multilingual models, you have to specify the audioLanguage flag, which is the language of the spoken language in the audio.                                                                                                                                                                                                                                                                                                                              |
-| `error`              | <code>Error &#124; undefined</code>                                                                                      | Contains the error message if the model failed to load.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
-| `sequence`           | <code>string</code>                                                                                                      | This property is updated with each generated token. If you're looking to obtain tokens as they're generated, you should use this property.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |
-| `isGenerating`       | `boolean`                                                                                                                | Indicates whether the model is currently processing an inference.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
-| `isReady`            | `boolean`                                                                                                                | Indicates whether the model has successfully loaded and is ready for inference.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
-| `configureStreaming` | <code>(overlapSeconds?: number, windowSize?: number, streamingConfig?: 'fast' &#124; 'balanced' &#124; 'quality')</code> | Configures options for the streaming algorithm: <ul><li>`overlapSeconds` determines how much adjacent audio chunks overlap (increasing it slows down transcription, decreases probability of weird wording at the chunks intersection, setting it larger than 3 seconds generally is discouraged), </li><li>`windowSize` describes size of the audio chunks (increasing it speeds up the end to end transcription time, but increases latency for the first token to be returned),</li><li> `streamingConfig` predefined configs for `windowSize` and `overlapSeconds` values.</li></ul> Keep `windowSize + 2 * overlapSeconds <= 30`. |
-| `downloadProgress`   | `number`                                                                                                                 | Tracks the progress of the model download process.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
+| Field                 | Type                                                                                                                     | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
+| --------------------- | ------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `transcribe`          | `(waveform: number[], audioLanguage?: SpeechToTextLanguage) => Promise<string>`                                          | Starts a transcription process for a given input array, which should be a waveform at 16kHz. Resolves a promise with the output transcription when the model is finished. For multilingual models, you have to specify the audioLanguage flag, which is the language of the spoken language in the audio. Returns error when called when module is in use (i.e. in process of `streamingTranscribe` action)                                                                                                                                                                                                                                                                  |
+| `streamingTranscribe` | `(streamingAction: STREAMING_ACTION, waveform?: number[], audioLanguage?: SpeechToTextLanguage) => Promise<string>`      | This allows for running transcription process on-line, which means where the whole audio is not known beforehand i.e. when transcribing from a live microphone feed. `streamingAction` defines the type of package sent to the model: <li>`START` - initializes the process, allows for optional `waveform` data</li><li>`DATA` - this package should contain consecutive audio data chunks sampled in 16k Hz</li><li>`STOP` - the last data chunk for this transcription, ends the transcription process and flushes internal buffers</li> Each call returns most recent transcription. Returns error when called when module is in use (i.e. processing `transcribe` call) |
+| `error`               | <code>Error &#124; undefined</code>                                                                                      | Contains the error message if the model failed to load.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
+| `sequence`            | <code>string</code>                                                                                                      | This property is updated with each generated token. If you're looking to obtain tokens as they're generated, you should use this property.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |
+| `isGenerating`        | `boolean`                                                                                                                | Indicates whether the model is currently processing an inference.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
+| `isReady`             | `boolean`                                                                                                                | Indicates whether the model has successfully loaded and is ready for inference.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
+| `configureStreaming`  | <code>(overlapSeconds?: number, windowSize?: number, streamingConfig?: 'fast' &#124; 'balanced' &#124; 'quality')</code> | Configures options for the streaming algorithm: <ul><li>`overlapSeconds` determines how much adjacent audio chunks overlap (increasing it slows down transcription, decreases probability of weird wording at the chunks intersection, setting it larger than 3 seconds generally is discouraged), </li><li>`windowSize` describes size of the audio chunks (increasing it speeds up the end to end transcription time, but increases latency for the first token to be returned),</li><li> `streamingConfig` predefined configs for `windowSize` and `overlapSeconds` values.</li></ul> Keep `windowSize + 2 * overlapSeconds <= 30`.                                       |
+| `downloadProgress`    | `number`                                                                                                                 | Tracks the progress of the model download process.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
 
 <details>
 <summary>Type definitions</summary>
 
 ```typescript
+enum STREAMING_ACTION {
+  START,
+  DATA,
+  STOP,
+}
+
 enum SpeechToTextLanguage {
   Afrikaans = 'af',
   Albanian = 'sq',
@@ -227,11 +234,97 @@ function App() {
         title="Transcribe"
       />
       <Text>{error ? error : sequence}</Text>
-    </View>****
+    </View>
   );
 }
 ```
 
+### Live data (microphone) transcription
+
+```typescript
+import { STREAMING_ACTION, useSpeechToText } from 'react-native-executorch';
+import LiveAudioStream from 'react-native-live-audio-stream';
+import { useState } from 'react';
+import { Buffer } from 'buffer';
+
+const audioStreamOptions = {
+  sampleRate: 16000,
+  channels: 1,
+  bitsPerSample: 16,
+  audioSource: 1,
+  bufferSize: 16000,
+};
+
+const startStreamingAudio = (options: any, onChunk: (data: string) => void) => {
+  LiveAudioStream.init(options);
+  LiveAudioStream.on('data', onChunk);
+  LiveAudioStream.start();
+};
+
+const float32ArrayFromPCMBinaryBuffer = (b64EncodedBuffer: string) => {
+  const b64DecodedChunk = Buffer.from(b64EncodedBuffer, 'base64');
+  const int16Array = new Int16Array(b64DecodedChunk.buffer);
+
+  const float32Array = new Float32Array(int16Array.length);
+  for (let i = 0; i < int16Array.length; i++) {
+    float32Array[i] = Math.max(
+      -1,
+      Math.min(1, (int16Array[i] / audioStreamOptions.bufferSize) * 8)
+    );
+  }
+  return float32Array;
+};
+
+function App() {
+  const [isRecording, setIsRecording] = useState(false);
+  const speechToText = useSpeechToText({
+    modelName: 'moonshine',
+    windowSize: 3,
+    overlapSeconds: 1.2,
+  });
+
+  const onChunk = (data: string) => {
+    const float32Chunk = float32ArrayFromPCMBinaryBuffer(data);
+    speechToText.streamingTranscribe(
+      STREAMING_ACTION.DATA,
+      Array.from(float32Chunk)
+    );
+  };
+
+  const handleRecordPress = async () => {
+    if (isRecording) {
+      setIsRecording(false);
+      LiveAudioStream.stop();
+      messageRecorded.current = true;
+      await speechToText.streamingTranscribe(STREAMING_ACTION.STOP);
+    } else {
+      setIsRecording(true);
+      startStreamingAudio(audioStreamOptions, onChunk);
+      await speechToText.streamingTranscribe(STREAMING_ACTION.START);
+    }
+  };
+
+  return
+    <View>
+      <Text>
+        {speechToText.sequence}
+      </Text>
+      <TouchableOpacity
+        style={
+          !isRecording ? styles.recordTouchable : styles.recordingInfo
+        }
+        onPress={handleRecordPress}
+      >
+        {isRecording ? (
+          <Text>Stop</Text>
+        ) : (
+          <Text>Record</Text>
+        )}
+      </TouchableOpacity>
+    </View>
+}
+```
+
 ## Supported models
 
 | Model                                                                 |   Language   |
diff --git a/docs/docs/typescript-api/SpeechToTextModule.md b/docs/docs/typescript-api/SpeechToTextModule.md
index c006baa756..6a645b6753 100644
--- a/docs/docs/typescript-api/SpeechToTextModule.md
+++ b/docs/docs/typescript-api/SpeechToTextModule.md
@@ -37,13 +37,14 @@ const transcribedText = await SpeechToTextModule.transcribe(waveform);
 
 ### Methods
 
-| Method               | Type                                                                                                                                                                                                                                                                                                     | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
-| -------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| `load`               | <code>(modelName: 'whisper' &#124 'moonshine' &#124 'whisperMultilingual', transcribeCallback?: (sequence: string) => void, modelDownloadProgressCallback?: (downloadProgress: number) => void, encoderSource?: ResourceSource, decoderSource?: ResourceSource, tokenizerSource?: ResourceSource)</code> | Loads the model specified with `modelName`, where `encoderSource`, `decoderSource`, `tokenizerSource` are strings specifying the location of the binaries for the models. `modelDownloadProgressCallback` allows you to monitor the current progress of the model download, while `transcribeCallback` is invoked with each generated token                                                                                                                                                                                                                                                                                            |
-| `transcribe`         | `(waveform: number[], audioLanguage?: SpeechToTextLanguage): Promise<string>`                                                                                                                                                                                                                            | Starts a transcription process for a given input array, which should be a waveform at 16kHz. Resolves a promise with the output transcription when the model is finished. For multilingual models, you have to specify the audioLanguage flag, which is the language of the spoken language in the audio.                                                                                                                                                                                                                                                                                                                              |
-| `encode`             | `(waveform: number[]) => Promise<number[]>`                                                                                                                                                                                                                                                              | Runs the encoding part of the model. Returns a float array representing the output of the encoder.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
-| `decode`             | `(tokens: number[], encodings?: number[]) => Promise<number[]>`                                                                                                                                                                                                                                          | Runs the decoder of the model. Returns a single token representing a next token in the output sequence. If `encodings` are provided then they are used for decoding process, if not then the cached encodings from most recent `encode` call are used. The cached option is much faster due to very large overhead for communication between native and react layers.                                                                                                                                                                                                                                                                  |
-| `configureStreaming` | <code>(overlapSeconds?: number, windowSize?: number, streamingConfig?: 'fast' &#124; 'balanced' &#124; 'quality') => void</code>                                                                                                                                                                         | Configures options for the streaming algorithm: <ul><li>`overlapSeconds` determines how much adjacent audio chunks overlap (increasing it slows down transcription, decreases probability of weird wording at the chunks intersection, setting it larger than 3 seconds generally is discouraged), </li><li>`windowSize` describes size of the audio chunks (increasing it speeds up the end to end transcription time, but increases latency for the first token to be returned),</li><li> `streamingConfig` predefined configs for `windowSize` and `overlapSeconds` values.</li></ul> Keep `windowSize + 2 * overlapSeconds <= 30`. |
+| Method                | Type                                                                                                                                                                                                                                                                                                     | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
+| --------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `load`                | <code>(modelName: 'whisper' &#124 'moonshine' &#124 'whisperMultilingual', transcribeCallback?: (sequence: string) => void, modelDownloadProgressCallback?: (downloadProgress: number) => void, encoderSource?: ResourceSource, decoderSource?: ResourceSource, tokenizerSource?: ResourceSource)</code> | Loads the model specified with `modelName`, where `encoderSource`, `decoderSource`, `tokenizerSource` are strings specifying the location of the binaries for the models. `modelDownloadProgressCallback` allows you to monitor the current progress of the model download, while `transcribeCallback` is invoked with each generated token                                                                                                                                                                                                                                                                                                                                  |
+| `transcribe`          | `(waveform: number[], audioLanguage?: SpeechToTextLanguage): Promise<string>`                                                                                                                                                                                                                            | Starts a transcription process for a given input array, which should be a waveform at 16kHz. Resolves a promise with the output transcription when the model is finished. For multilingual models, you have to specify the audioLanguage flag, which is the language of the spoken language in the audio.                                                                                                                                                                                                                                                                                                                                                                    |
+| `streamingTranscribe` | `(streamingAction: STREAMING_ACTION, waveform?: number[], audioLanguage?: SpeechToTextLanguage) => Promise<string>`                                                                                                                                                                                      | This allows for running transcription process on-line, which means where the whole audio is not known beforehand i.e. when transcribing from a live microphone feed. `streamingAction` defines the type of package sent to the model: <li>`START` - initializes the process, allows for optional `waveform` data</li><li>`DATA` - this package should contain consecutive audio data chunks sampled in 16k Hz</li><li>`STOP` - the last data chunk for this transcription, ends the transcription process and flushes internal buffers</li> Each call returns most recent transcription. Returns error when called when module is in use (i.e. processing `transcribe` call) |
+| `encode`              | `(waveform: number[]) => Promise<number[]>`                                                                                                                                                                                                                                                              | Runs the encoding part of the model. Returns a float array representing the output of the encoder.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
+| `decode`              | `(tokens: number[], encodings?: number[]) => Promise<number[]>`                                                                                                                                                                                                                                          | Runs the decoder of the model. Returns a single token representing a next token in the output sequence. If `encodings` are provided then they are used for decoding process, if not then the cached encodings from most recent `encode` call are used. The cached option is much faster due to very large overhead for communication between native and react layers.                                                                                                                                                                                                                                                                                                        |
+| `configureStreaming`  | <code>(overlapSeconds?: number, windowSize?: number, streamingConfig?: 'fast' &#124; 'balanced' &#124; 'quality') => void</code>                                                                                                                                                                         | Configures options for the streaming algorithm: <ul><li>`overlapSeconds` determines how much adjacent audio chunks overlap (increasing it slows down transcription, decreases probability of weird wording at the chunks intersection, setting it larger than 3 seconds generally is discouraged), </li><li>`windowSize` describes size of the audio chunks (increasing it speeds up the end to end transcription time, but increases latency for the first token to be returned),</li><li> `streamingConfig` predefined configs for `windowSize` and `overlapSeconds` values.</li></ul> Keep `windowSize + 2 * overlapSeconds <= 30`.                                       |
 
 <details>
 <summary>Type definitions</summary>
@@ -51,6 +52,12 @@ const transcribedText = await SpeechToTextModule.transcribe(waveform);
 ```typescript
 type ResourceSource = string | number | object;
 
+enum STREAMING_ACTION {
+  START,
+  DATA,
+  STOP,
+}
+
 enum SpeechToTextLanguage {
   Afrikaans = 'af',
   Albanian = 'sq',
diff --git a/examples/llm/App.tsx b/examples/llm/App.tsx
index ad5a040038..a58cf3c3ec 100644
--- a/examples/llm/App.tsx
+++ b/examples/llm/App.tsx
@@ -14,9 +14,11 @@ import {
 } from 'react-native';
 import LLMScreen from './screens/LLMScreen';
 import LLMToolCallingScreen from './screens/LLMToolCallingScreen';
+import VoiceChatScreen from './screens/VocieChatScreen';
 
 enum Mode {
   LLM,
+  LLM_VOICE_CHAT,
   LLM_TOOL_CALLING,
 }
 
@@ -39,6 +41,9 @@ export default function App() {
       case Mode.LLM:
         return <LLMScreen setIsGenerating={setIsGenerating} />;
 
+      case Mode.LLM_VOICE_CHAT:
+        return <VoiceChatScreen setIsGenerating={setIsGenerating} />;
+
       case Mode.LLM_TOOL_CALLING:
         return <LLMToolCallingScreen setIsGenerating={setIsGenerating} />;
 
@@ -61,7 +66,7 @@ export default function App() {
             {!isGenerating ? (
               <View style={styles.wheelPickerContainer}>
                 <ScrollPicker
-                  dataSource={['Chat with LLM', 'Tool calling']}
+                  dataSource={['Chat with LLM', 'Talk to LLM', 'Tool calling']}
                   onValueChange={(_, selectedIndex) => {
                     handleModeChange(selectedIndex);
                   }}
diff --git a/examples/llm/assets/icons/mic_icon.svg b/examples/llm/assets/icons/mic_icon.svg
new file mode 100644
index 0000000000..955808bfba
--- /dev/null
+++ b/examples/llm/assets/icons/mic_icon.svg
@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="utf-8"?><!-- Uploaded to: SVG Repo, www.svgrepo.com, Generator: SVG Repo Mixer Tools -->
+<svg width="800px" height="800px" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M20 12V13C20 17.4183 16.4183 21 12 21C7.58172 21 4 17.4183 4 13V12M12 17C9.79086 17 8 15.2091 8 13V7C8 4.79086 9.79086 3 12 3C14.2091 3 16 4.79086 16 7V13C16 15.2091 14.2091 17 12 17Z" stroke="#000000" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
+</svg>
\ No newline at end of file
diff --git a/examples/llm/assets/icons/stop_icon.svg b/examples/llm/assets/icons/stop_icon.svg
new file mode 100644
index 0000000000..cb051899fe
--- /dev/null
+++ b/examples/llm/assets/icons/stop_icon.svg
@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="utf-8"?><!-- Uploaded to: SVG Repo, www.svgrepo.com, Generator: SVG Repo Mixer Tools -->
+<svg width="800px" height="800px" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path fill-rule="evenodd" clip-rule="evenodd" d="M11.9426 1.25H12.0574C14.3658 1.24999 16.1748 1.24998 17.5863 1.43975C19.031 1.63399 20.1711 2.03933 21.0659 2.93414C21.9607 3.82895 22.366 4.96897 22.5603 6.41371C22.75 7.82519 22.75 9.63423 22.75 11.9426V12.0574C22.75 14.3658 22.75 16.1748 22.5603 17.5863C22.366 19.031 21.9607 20.1711 21.0659 21.0659C20.1711 21.9607 19.031 22.366 17.5863 22.5603C16.1748 22.75 14.3658 22.75 12.0574 22.75H11.9426C9.63423 22.75 7.82519 22.75 6.41371 22.5603C4.96897 22.366 3.82895 21.9607 2.93414 21.0659C2.03933 20.1711 1.63399 19.031 1.43975 17.5863C1.24998 16.1748 1.24999 14.3658 1.25 12.0574V11.9426C1.24999 9.63423 1.24998 7.82519 1.43975 6.41371C1.63399 4.96897 2.03933 3.82895 2.93414 2.93414C3.82895 2.03933 4.96897 1.63399 6.41371 1.43975C7.82519 1.24998 9.63423 1.24999 11.9426 1.25ZM6.61358 2.92637C5.33517 3.09825 4.56445 3.42514 3.9948 3.9948C3.42514 4.56445 3.09825 5.33517 2.92637 6.61358C2.75159 7.91356 2.75 9.62178 2.75 12C2.75 14.3782 2.75159 16.0864 2.92637 17.3864C3.09825 18.6648 3.42514 19.4355 3.9948 20.0052C4.56445 20.5749 5.33517 20.9018 6.61358 21.0736C7.91356 21.2484 9.62178 21.25 12 21.25C14.3782 21.25 16.0864 21.2484 17.3864 21.0736C18.6648 20.9018 19.4355 20.5749 20.0052 20.0052C20.5749 19.4355 20.9018 18.6648 21.0736 17.3864C21.2484 16.0864 21.25 14.3782 21.25 12C21.25 9.62178 21.2484 7.91356 21.0736 6.61358C20.9018 5.33517 20.5749 4.56445 20.0052 3.9948C19.4355 3.42514 18.6648 3.09825 17.3864 2.92637C16.0864 2.75159 14.3782 2.75 12 2.75C9.62178 2.75 7.91356 2.75159 6.61358 2.92637Z" fill="#1C274C"/>
+</svg>
\ No newline at end of file
diff --git a/examples/llm/ios/Podfile.lock b/examples/llm/ios/Podfile.lock
index 9f1afe5b03..2403d1b556 100644
--- a/examples/llm/ios/Podfile.lock
+++ b/examples/llm/ios/Podfile.lock
@@ -1,9 +1,9 @@
 PODS:
   - boost (1.84.0)
   - DoubleConversion (1.1.6)
-  - EXConstants (17.1.5):
+  - EXConstants (17.1.6):
     - ExpoModulesCore
-  - Expo (53.0.8):
+  - Expo (53.0.9):
     - DoubleConversion
     - ExpoModulesCore
     - glog
@@ -36,13 +36,13 @@ PODS:
     - ExpoModulesCore
   - ExpoCalendar (14.1.4):
     - ExpoModulesCore
-  - ExpoFileSystem (18.1.9):
+  - ExpoFileSystem (18.1.10):
     - ExpoModulesCore
   - ExpoFont (13.3.1):
     - ExpoModulesCore
   - ExpoKeepAwake (14.1.4):
     - ExpoModulesCore
-  - ExpoModulesCore (2.3.12):
+  - ExpoModulesCore (2.3.13):
     - DoubleConversion
     - glog
     - hermes-engine
@@ -1399,7 +1399,7 @@ PODS:
     - React-jsiexecutor
     - React-RCTFBReactNativeSpec
     - ReactCommon/turbomodule/core
-  - react-native-executorch (0.3.2):
+  - react-native-executorch (0.3.3):
     - DoubleConversion
     - glog
     - hermes-engine
@@ -1821,6 +1821,82 @@ PODS:
     - React-logger (= 0.79.2)
     - React-perflogger (= 0.79.2)
     - React-utils (= 0.79.2)
+  - RNAudioAPI (0.5.7):
+    - DoubleConversion
+    - glog
+    - hermes-engine
+    - RCT-Folly (= 2024.11.18.00)
+    - RCTRequired
+    - RCTTypeSafety
+    - React-Core
+    - React-debug
+    - React-Fabric
+    - React-featureflags
+    - React-graphics
+    - React-hermes
+    - React-ImageManager
+    - React-jsi
+    - React-NativeModulesApple
+    - React-RCTFabric
+    - React-renderercss
+    - React-rendererdebug
+    - React-utils
+    - ReactCodegen
+    - ReactCommon/turbomodule/bridging
+    - ReactCommon/turbomodule/core
+    - RNAudioAPI/audioapi (= 0.5.7)
+    - Yoga
+  - RNAudioAPI/audioapi (0.5.7):
+    - DoubleConversion
+    - glog
+    - hermes-engine
+    - RCT-Folly (= 2024.11.18.00)
+    - RCTRequired
+    - RCTTypeSafety
+    - React-Core
+    - React-debug
+    - React-Fabric
+    - React-featureflags
+    - React-graphics
+    - React-hermes
+    - React-ImageManager
+    - React-jsi
+    - React-NativeModulesApple
+    - React-RCTFabric
+    - React-renderercss
+    - React-rendererdebug
+    - React-utils
+    - ReactCodegen
+    - ReactCommon/turbomodule/bridging
+    - ReactCommon/turbomodule/core
+    - RNAudioAPI/audioapi/ios (= 0.5.7)
+    - Yoga
+  - RNAudioAPI/audioapi/ios (0.5.7):
+    - DoubleConversion
+    - glog
+    - hermes-engine
+    - RCT-Folly (= 2024.11.18.00)
+    - RCTRequired
+    - RCTTypeSafety
+    - React-Core
+    - React-debug
+    - React-Fabric
+    - React-featureflags
+    - React-graphics
+    - React-hermes
+    - React-ImageManager
+    - React-jsi
+    - React-NativeModulesApple
+    - React-RCTFabric
+    - React-renderercss
+    - React-rendererdebug
+    - React-utils
+    - ReactCodegen
+    - ReactCommon/turbomodule/bridging
+    - ReactCommon/turbomodule/core
+    - Yoga
+  - RNLiveAudioStream (1.1.1):
+    - React
   - RNReanimated (3.17.5):
     - DoubleConversion
     - glog
@@ -2080,6 +2156,8 @@ DEPENDENCIES:
   - ReactAppDependencyProvider (from `build/generated/ios`)
   - ReactCodegen (from `build/generated/ios`)
   - ReactCommon/turbomodule/core (from `../node_modules/react-native/ReactCommon`)
+  - RNAudioAPI (from `../node_modules/react-native-audio-api`)
+  - RNLiveAudioStream (from `../node_modules/react-native-live-audio-stream`)
   - RNReanimated (from `../node_modules/react-native-reanimated`)
   - RNSVG (from `../node_modules/react-native-svg`)
   - Yoga (from `../node_modules/react-native/ReactCommon/yoga`)
@@ -2251,6 +2329,10 @@ EXTERNAL SOURCES:
     :path: build/generated/ios
   ReactCommon:
     :path: "../node_modules/react-native/ReactCommon"
+  RNAudioAPI:
+    :path: "../node_modules/react-native-audio-api"
+  RNLiveAudioStream:
+    :path: "../node_modules/react-native-live-audio-stream"
   RNReanimated:
     :path: "../node_modules/react-native-reanimated"
   RNSVG:
@@ -2259,91 +2341,93 @@ EXTERNAL SOURCES:
     :path: "../node_modules/react-native/ReactCommon/yoga"
 
 SPEC CHECKSUMS:
-  boost: 1dca942403ed9342f98334bf4c3621f011aa7946
-  DoubleConversion: f16ae600a246532c4020132d54af21d0ddb2a385
-  EXConstants: 26f334022fc0b454b7ecdc7c12d36ffa68c7c397
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-  ExpoModulesCore: 0bf5158ae9fb71e575582a8a48dbd26ced42f306
+  boost: 7e761d76ca2ce687f7cc98e698152abd03a18f90
+  DoubleConversion: cb417026b2400c8f53ae97020b2be961b59470cb
+  EXConstants: 9f310f44bfedba09087042756802040e464323c0
+  Expo: a9fc723f6c8f673f0e7e036c9021772d3a1a0707
+  ExpoAsset: 3bc9adb7dbbf27ae82c18ca97eb988a3ae7e73b1
+  ExpoBrightness: c335c6ccc082d5249a4b38dba5cd9a08aa0bf62b
+  ExpoCalendar: f5f94ea8dcd957b1434beb4e1c0da1af063322e6
+  ExpoFileSystem: c36eb8155eb2381c83dda7dc210e3eec332368b6
+  ExpoFont: abbb91a911eb961652c2b0a22eef801860425ed6
+  ExpoKeepAwake: bf0811570c8da182bfb879169437d4de298376e7
+  ExpoModulesCore: 5d37821c36f3781dcd0ea9a393800c90eaa6259d
   fast_float: 06eeec4fe712a76acc9376682e4808b05ce978b6
   FBLazyVector: 84b955f7b4da8b895faf5946f73748267347c975
-  fmt: 01b82d4ca6470831d1cc0852a1af644be019e8f6
-  glog: 08b301085f15bcbb6ff8632a8ebaf239aae04e6a
+  fmt: a40bb5bd0294ea969aaaba240a927bd33d878cdd
+  glog: 5683914934d5b6e4240e497e0f4a3b42d1854183
   hermes-engine: 314be5250afa5692b57b4dd1705959e1973a8ebe
   opencv-rne: 63e933ae2373fc91351f9a348dc46c3f523c2d3f
-  RCT-Folly: 36fe2295e44b10d831836cc0d1daec5f8abcf809
+  RCT-Folly: e78785aa9ba2ed998ea4151e314036f6c49e6d82
   RCTDeprecation: 83ffb90c23ee5cea353bd32008a7bca100908f8c
   RCTRequired: eb7c0aba998009f47a540bec9e9d69a54f68136e
   RCTTypeSafety: 659ae318c09de0477fd27bbc9e140071c7ea5c93
   React: c2d3aa44c49bb34e4dfd49d3ee92da5ebacc1c1c
   React-callinvoker: 1bdfb7549b5af266d85757193b5069f60659ef9d
-  React-Core: 7150cf9b6a5af063b37003062689f1691e79c020
-  React-CoreModules: 15a85e6665d61678942da6ae485b351f4c699049
-  React-cxxreact: 74f9de59259ac951923f5726aa14f0398f167af9
+  React-Core: 10597593fdbae06f0089881e025a172e51d4a769
+  React-CoreModules: 6907b255529dd46895cf687daa67b24484a612c2
+  React-cxxreact: a9f5b8180d6955bc3f6a3fcd657c4d9b4d95c1f6
   React-debug: e74e76912b91e08d580c481c34881899ccf63da9
-  React-defaultsnativemodule: 628285212bbd65417d40ad6a9f8781830fda6c98
-  React-domnativemodule: 185d9808198405c176784aaf33403d713bd24fb7
-  React-Fabric: c814804affbe1952e16149ddd20256e1bccae67e
-  React-FabricComponents: 81ef47d596966121784afec9924f9562a29b1691
-  React-FabricImage: f14f371d678aa557101def954ac3ba27e48948ff
+  React-defaultsnativemodule: 11f6ee2cf69bf3af9d0f28a6253def33d21b5266
+  React-domnativemodule: f940bbc4fa9e134190acbf3a4a9f95621b5a8f51
+  React-Fabric: 6f5c357bf3a42ff11f8844ad3fc7a1eb04f4b9de
+  React-FabricComponents: 10e0c0209822ac9e69412913a8af1ca33573379b
+  React-FabricImage: f582e764072dfa4715ae8c42979a5bace9cbcc12
   React-featureflags: d5facceff8f8f6de430e0acecf4979a9a0839ba9
-  React-featureflagsnativemodule: 96f0ab285382d95c90f663e02526a5ceefa95a11
-  React-graphics: 1a66ee0a3f093b125b853f6370296fadcaf6f233
-  React-hermes: 8b86e5f54a65ecb69cdf22b3a00a11562eda82d2
-  React-idlecallbacksnativemodule: 5c25ab145c602264d00cb26a397ab52e0efa031c
-  React-ImageManager: 15e34bd5ef1ac4a18e96660817ef70a7f99ee8c2
-  React-jserrorhandler: 02cdf2cd45350108be1ffd2b164578936dbbdff7
-  React-jsi: 6af1987cfbb1b6621664fdbf6c7b62bd4d38c923
-  React-jsiexecutor: 51f372998e0303585cb0317232b938d694663cbd
-  React-jsinspector: 3539ad976d073bfaa8a7d2fa9bef35e70e55033e
-  React-jsinspectortracing: e8dbacaf67c201f23052ca1c2bae2f7b84dec443
-  React-jsitooling: 95a34f41e3c249d42181de13b4f8d854f178ca9f
-  React-jsitracing: 25b029cf5cad488252d46da19dd8c4c134fd5fe4
-  React-logger: 368570a253f00879a1e4fea24ed4047e72e7bbf3
-  React-Mapbuffer: c04fcda1c6281fc0a6824c7dcc1633dd217ac1ec
-  React-microtasksnativemodule: ca2804a25fdcefffa0aa942aa23ab53b99614a34
-  react-native-executorch: aa97983ed344f0cbfb47f531f0c24638c579f1c1
-  react-native-safe-area-context: 00d03dc688ba86664be66f9e3f203fc7d747d899
-  React-NativeModulesApple: 452b86b29fae99ed0a4015dca3ad9cd222f88abf
+  React-featureflagsnativemodule: a7dd141f1ef4b7c1331af0035689fbc742a49ff4
+  React-graphics: 36ae3407172c1c77cea29265d2b12b90aaef6aa0
+  React-hermes: 9116d4e6d07abeb519a2852672de087f44da8f12
+  React-idlecallbacksnativemodule: ae7f5ffc6cf2d2058b007b78248e5b08172ad5c3
+  React-ImageManager: 9daee0dc99ad6a001d4b9e691fbf37107e2b7b54
+  React-jserrorhandler: 1e6211581071edaf4ecd5303147328120c73f4dc
+  React-jsi: 753ba30c902f3a41fa7f956aca8eea3317a44ee6
+  React-jsiexecutor: 47520714aa7d9589c51c0f3713dfbfca4895d4f9
+  React-jsinspector: cfd27107f6d6f1076a57d88c932401251560fe5f
+  React-jsinspectortracing: 76a7d791f3c0c09a0d2bf6f46dfb0e79a4fcc0ac
+  React-jsitooling: 995e826570dd58f802251490486ebd3244a037ab
+  React-jsitracing: 094ae3d8c123cea67b50211c945b7c0443d3e97b
+  React-logger: 8edfcedc100544791cd82692ca5a574240a16219
+  React-Mapbuffer: c3f4b608e4a59dd2f6a416ef4d47a14400194468
+  React-microtasksnativemodule: 054f34e9b82f02bd40f09cebd4083828b5b2beb6
+  react-native-executorch: d0c3dffa0a4a4111ea9c7b97f3fbf088a48d3b2a
+  react-native-safe-area-context: 562163222d999b79a51577eda2ea8ad2c32b4d06
+  React-NativeModulesApple: 2c4377e139522c3d73f5df582e4f051a838ff25e
   React-oscompat: ef5df1c734f19b8003e149317d041b8ce1f7d29c
-  React-perflogger: 6fd2f6811533e9c19a61e855c3033eecbf4ad2a0
-  React-performancetimeline: abf31259d794c9274b3ea19c5016186925eec6c4
+  React-perflogger: 9a151e0b4c933c9205fd648c246506a83f31395d
+  React-performancetimeline: 5b0dfc0acba29ea0269ddb34cd6dd59d3b8a1c66
   React-RCTActionSheet: a499b0d6d9793886b67ba3e16046a3fef2cdbbc3
-  React-RCTAnimation: 2595dcb10a82216a511b54742f8c28d793852ac6
-  React-RCTAppDelegate: f03604b70f57c9469a84a159d8abecf793a5bcff
-  React-RCTBlob: e00f9b4e2f151938f4d9864cf33ebf24ac03328a
-  React-RCTFabric: 3945d116fd271598db262d4e6ed5691d431ed9e8
-  React-RCTFBReactNativeSpec: 0f4d4f0da938101f2ca9d5333a8f46e527ad2819
-  React-RCTImage: dac5e9f8ec476aefe6e60ee640ebc1dfaf1a4dbe
-  React-RCTLinking: 494b785a40d952a1dfbe712f43214376e5f0e408
-  React-RCTNetwork: b3d7c30cd21793e268db107dd0980cb61b3c1c44
-  React-RCTRuntime: a8ff419d437228e7b8a793b14f9d711e1cbb82af
-  React-RCTSettings: a060c7e381a3896104761b8eed7e284d95e37df3
-  React-RCTText: 4f272b72dbb61f390d8c8274528f9fdbff983806
-  React-RCTVibration: 0e5326220719aca12473d703aa46693e3b4ce67a
+  React-RCTAnimation: cc64adc259aabc3354b73065e2231d796dfce576
+  React-RCTAppDelegate: 9d523da768f1c9e84c5f3b7e3624d097dfb0e16b
+  React-RCTBlob: e727f53eeefded7e6432eb76bd22b57bc880e5d1
+  React-RCTFabric: 58590aa4fdb4ad546c06a7449b486cf6844e991f
+  React-RCTFBReactNativeSpec: 9064c63d99e467a3893e328ba3612745c3c3a338
+  React-RCTImage: 7159cbdbb18a09d97ba1a611416eced75b3ccb29
+  React-RCTLinking: 46293afdb859bccc63e1d3dedc6901a3c04ef360
+  React-RCTNetwork: 4a6cd18f5bcd0363657789c64043123a896b1170
+  React-RCTRuntime: 5ab904fd749aa52f267ef771d265612582a17880
+  React-RCTSettings: 61e361dc85136d1cb0e148b7541993d2ee950ea7
+  React-RCTText: abd1e196c3167175e6baef18199c6d9d8ac54b4e
+  React-RCTVibration: 490e0dcb01a3fe4a0dfb7bc51ad5856d8b84f343
   React-rendererconsistency: 351fdbc5c1fe4da24243d939094a80f0e149c7a1
-  React-renderercss: d333f2ada83969591100d91ec6b23ca2e17e1507
-  React-rendererdebug: 039e5949b72ba63c703de020701e3fd152434c61
+  React-renderercss: 3438814bee838ae7840a633ab085ac81699fd5cf
+  React-rendererdebug: 0ac2b9419ad6f88444f066d4b476180af311fb1e
   React-rncore: 57ed480649bb678d8bdc386d20fee8bf2b0c307c
-  React-RuntimeApple: 344a5e1105256000afabaa8df12c3e4cab880340
-  React-RuntimeCore: 0e48fb5e5160acc0334c7a723a42d42cef4b58b6
+  React-RuntimeApple: 8b7a9788f31548298ba1990620fe06b40de65ad7
+  React-RuntimeCore: e03d96fbd57ce69fd9bca8c925942194a5126dbc
   React-runtimeexecutor: d60846710facedd1edb70c08b738119b3ee2c6c2
-  React-RuntimeHermes: 064286a03871d932c99738e0f8ef854962ab4b99
-  React-runtimescheduler: e917ab17ae08c204af1ebf8f669b7e411b0220c8
+  React-RuntimeHermes: aab794755d9f6efd249b61f3af4417296904e3ba
+  React-runtimescheduler: c3cd124fa5db7c37f601ee49ca0d97019acd8788
   React-timing: a90f4654cbda9c628614f9bee68967f1768bd6a5
-  React-utils: 51c4e71608b8133fecc9a15801d244ae7bdf3758
-  ReactAppDependencyProvider: d5dcc564f129632276bd3184e60f053fcd574d6b
-  ReactCodegen: fda99a79c866370190e162083a35602fdc314e5d
-  ReactCommon: 4d0da92a5eb8da86c08e3ec34bd23ab439fb2461
-  RNReanimated: 8b24b49fc13fce9a6e1729ccff645a63d2b7a6d1
-  RNSVG: ee32efbed652c5151fd3f98bed13c68af285bc38
+  React-utils: a612d50555b6f0f90c74b7d79954019ad47f5de6
+  ReactAppDependencyProvider: 04d5eb15eb46be6720e17a4a7fa92940a776e584
+  ReactCodegen: c63eda03ba1d94353fb97b031fc84f75a0d125ba
+  ReactCommon: 76d2dc87136d0a667678668b86f0fca0c16fdeb0
+  RNAudioAPI: 2e3fd4bf75aa5717791babb30126707504996f09
+  RNLiveAudioStream: 93ac2bb6065be9018d0b00157b220f11cebc1513
+  RNReanimated: 2313402fe27fecb7237619e9c6fcee3177f08a65
+  RNSVG: 794f269526df9ddc1f79b3d1a202b619df0368e3
   SocketRocket: d4aabe649be1e368d1318fdf28a022d714d65748
-  Yoga: 9f110fc4b7aa538663cba3c14cbb1c335f43c13f
+  Yoga: c758bfb934100bb4bf9cbaccb52557cee35e8bdf
 
 PODFILE CHECKSUM: bba19a069e673f2259009e9d2caab44374fdebcf
 
diff --git a/examples/llm/ios/llm.xcworkspace/xcshareddata/WorkspaceSettings.xcsettings b/examples/llm/ios/llm.xcworkspace/xcshareddata/WorkspaceSettings.xcsettings
new file mode 100644
index 0000000000..08de0be8d3
--- /dev/null
+++ b/examples/llm/ios/llm.xcworkspace/xcshareddata/WorkspaceSettings.xcsettings
@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
+<plist version="1.0">
+<dict>
+	<key>IDEWorkspaceSharedSettings_AutocreateContextsIfNeeded</key>
+	<false/>
+</dict>
+</plist>
diff --git a/examples/llm/ios/llm/Info.plist b/examples/llm/ios/llm/Info.plist
index 5b589e2d4e..86608be438 100644
--- a/examples/llm/ios/llm/Info.plist
+++ b/examples/llm/ios/llm/Info.plist
@@ -52,6 +52,8 @@
     <string>Allow $(PRODUCT_NAME) to access your reminders</string>
     <key>NSRemindersUsageDescription</key>
     <string>Allow $(PRODUCT_NAME) to access your reminders</string>
+    <key>NSMicrophoneUsageDescription</key>
+    <string>We need your permission to use the microphone.</string>
     <key>UIAppFonts</key>
     <array>
       <string>Aeonik-Regular.otf</string>
diff --git a/examples/llm/package.json b/examples/llm/package.json
index cffa62e19d..ae7b70c98b 100644
--- a/examples/llm/package.json
+++ b/examples/llm/package.json
@@ -18,7 +18,9 @@
     "metro-config": "^0.81.0",
     "react": "19.0.0",
     "react-native": "^0.79.2",
+    "react-native-audio-api": "0.5.7",
     "react-native-executorch": "^0.3.2",
+    "react-native-live-audio-stream": "^1.1.1",
     "react-native-loading-spinner-overlay": "^3.0.1",
     "react-native-markdown-display": "^7.0.2",
     "react-native-reanimated": "^3.17.5",
diff --git a/examples/llm/screens/VoiceChatScreen.tsx b/examples/llm/screens/VoiceChatScreen.tsx
new file mode 100644
index 0000000000..1da6f19a18
--- /dev/null
+++ b/examples/llm/screens/VoiceChatScreen.tsx
@@ -0,0 +1,221 @@
+import { useEffect, useRef, useState } from 'react';
+import {
+  Keyboard,
+  KeyboardAvoidingView,
+  Platform,
+  StyleSheet,
+  Text,
+  TouchableOpacity,
+  TouchableWithoutFeedback,
+  View,
+} from 'react-native';
+import SWMIcon from '../assets/icons/swm_icon.svg';
+import Spinner from 'react-native-loading-spinner-overlay';
+import {
+  STREAMING_ACTION,
+  useSpeechToText,
+  useLLM,
+  QWEN3_0_6B_QUANTIZED,
+  QWEN3_TOKENIZER,
+  QWEN3_TOKENIZER_CONFIG,
+} from 'react-native-executorch';
+import PauseIcon from '../assets/icons/pause_icon.svg';
+import MicIcon from '../assets/icons/mic_icon.svg';
+import StopIcon from '../assets/icons/stop_icon.svg';
+import ColorPalette from '../colors';
+import Messages from '../components/Messages';
+import LiveAudioStream from 'react-native-live-audio-stream';
+import { Buffer } from 'buffer';
+
+const audioStreamOptions = {
+  sampleRate: 16000,
+  channels: 1,
+  bitsPerSample: 16,
+  audioSource: 1,
+  bufferSize: 16000,
+};
+
+const startStreamingAudio = (options: any, onChunk: (data: string) => void) => {
+  LiveAudioStream.init(options);
+  LiveAudioStream.on('data', onChunk);
+  LiveAudioStream.start();
+};
+
+const float32ArrayFromPCMBinaryBuffer = (b64EncodedBuffer: string) => {
+  const b64DecodedChunk = Buffer.from(b64EncodedBuffer, 'base64');
+  const int16Array = new Int16Array(b64DecodedChunk.buffer);
+
+  const float32Array = new Float32Array(int16Array.length);
+  for (let i = 0; i < int16Array.length; i++) {
+    float32Array[i] = Math.max(
+      -1,
+      Math.min(1, (int16Array[i] / audioStreamOptions.bufferSize) * 8)
+    );
+  }
+  return float32Array;
+};
+
+export default function VoiceChatScreen({
+  setIsGenerating,
+}: {
+  setIsGenerating: React.Dispatch<React.SetStateAction<boolean>>;
+}) {
+  const [isRecording, setIsRecording] = useState(false);
+  const messageRecorded = useRef<boolean>(false);
+
+  const llm = useLLM({
+    modelSource: QWEN3_0_6B_QUANTIZED,
+    tokenizerSource: QWEN3_TOKENIZER,
+    tokenizerConfigSource: QWEN3_TOKENIZER_CONFIG,
+  });
+  const speechToText = useSpeechToText({
+    modelName: 'moonshine',
+    windowSize: 3,
+    overlapSeconds: 1.2,
+  });
+
+  const onChunk = (data: string) => {
+    const float32Chunk = float32ArrayFromPCMBinaryBuffer(data);
+    speechToText.streamingTranscribe(
+      STREAMING_ACTION.DATA,
+      Array.from(float32Chunk)
+    );
+  };
+
+  const handleRecordPress = async () => {
+    if (isRecording) {
+      setIsRecording(false);
+      LiveAudioStream.stop();
+      messageRecorded.current = true;
+      await llm.sendMessage(
+        await speechToText.streamingTranscribe(STREAMING_ACTION.STOP)
+      );
+    } else {
+      setIsRecording(true);
+      startStreamingAudio(audioStreamOptions, onChunk);
+      await speechToText.streamingTranscribe(STREAMING_ACTION.START);
+    }
+  };
+
+  useEffect(() => {
+    setIsGenerating(llm.isGenerating);
+  }, [llm.isGenerating, setIsGenerating]);
+
+  return !llm.isReady || !speechToText.isReady ? (
+    <Spinner
+      visible={!llm.isReady || !speechToText.isReady}
+      textContent={`Loading the model ${(llm.downloadProgress * 100).toFixed(0)} %\nLoading the speech model ${(speechToText.downloadProgress * 100).toFixed(0)} %`}
+    />
+  ) : (
+    <TouchableWithoutFeedback onPress={Keyboard.dismiss}>
+      <KeyboardAvoidingView
+        style={styles.keyboardAvoidingView}
+        behavior={Platform.OS === 'ios' ? 'padding' : 'height'}
+        keyboardVerticalOffset={Platform.OS === 'android' ? 30 : 0}
+      >
+        <View style={styles.topContainer}>
+          <SWMIcon width={45} height={45} />
+          <Text style={styles.textModelName}>Qwen 3 x Whisper</Text>
+        </View>
+        {llm.messageHistory.length || speechToText.sequence ? (
+          <View style={styles.chatContainer}>
+            <Messages
+              chatHistory={
+                speechToText.isGenerating
+                  ? [
+                      ...llm.messageHistory,
+                      { role: 'user', content: speechToText.sequence },
+                    ]
+                  : llm.messageHistory
+              }
+              llmResponse={llm.response}
+              isGenerating={llm.isGenerating}
+              deleteMessage={llm.deleteMessage}
+            />
+          </View>
+        ) : (
+          <View style={styles.helloMessageContainer}>
+            <Text style={styles.helloText}>Hello! 👋</Text>
+            <Text style={styles.bottomHelloText}>
+              What can I help you with?
+            </Text>
+          </View>
+        )}
+        <View style={styles.bottomContainer}>
+          {llm.isGenerating ? (
+            <TouchableOpacity onPress={llm.interrupt}>
+              <PauseIcon height={40} width={40} padding={4} margin={8} />
+            </TouchableOpacity>
+          ) : (
+            <TouchableOpacity
+              style={
+                !isRecording ? styles.recordTouchable : styles.recordingInfo
+              }
+              onPress={handleRecordPress}
+            >
+              {isRecording ? (
+                <StopIcon height={40} width={40} padding={4} margin={8} />
+              ) : (
+                <MicIcon height={40} width={40} padding={4} margin={8} />
+              )}
+            </TouchableOpacity>
+          )}
+        </View>
+      </KeyboardAvoidingView>
+    </TouchableWithoutFeedback>
+  );
+}
+
+const styles = StyleSheet.create({
+  keyboardAvoidingView: {
+    flex: 1,
+  },
+  topContainer: {
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+    width: '100%',
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+  },
+  recordingInfo: {
+    width: '100%',
+    display: 'flex',
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+    alignItems: 'center',
+  },
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diff --git a/examples/llm/yarn.lock b/examples/llm/yarn.lock
index 67524771f5..fca797b828 100644
--- a/examples/llm/yarn.lock
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-  resolution: "@expo/devcert@npm:1.1.4"
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+  resolution: "@expo/devcert@npm:1.2.0"
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-  resolution: "@expo/fingerprint@npm:0.11.11"
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+  version: 6.3.5
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-  resolution: "ws@npm:8.18.0"
+  version: 8.18.2
+  resolution: "ws@npm:8.18.2"
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@@ -9497,7 +7691,7 @@ __metadata:
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   resolution: "y18n@npm:5.0.8"
diff --git a/examples/speech-to-text/screens/SpeechToTextScreen.tsx b/examples/speech-to-text/screens/SpeechToTextScreen.tsx
index 691db7d276..bb1f550edc 100644
--- a/examples/speech-to-text/screens/SpeechToTextScreen.tsx
+++ b/examples/speech-to-text/screens/SpeechToTextScreen.tsx
@@ -63,7 +63,7 @@ export const SpeechToTextScreen = () => {
     ).then(({ uri }) => {
       return audioContext.decodeAudioDataSource(uri);
     });
-    return audioBuffer?.getChannelData(0);
+    return Array.from(audioBuffer?.getChannelData(0));
   };
 
   const [isRecording, setIsRecording] = useState(false);
@@ -150,7 +150,7 @@ export const SpeechToTextScreen = () => {
             setModalVisible(visible);
             if (audioUrl) {
               const loadedAudio = await loadAudio(audioUrl);
-              await transcribe(Array.from(loadedAudio));
+              await transcribe(loadedAudio);
             }
           }}
           onChangeText={setAudioUrl}
@@ -174,7 +174,7 @@ export const SpeechToTextScreen = () => {
                   setModalVisible(true);
                 } else {
                   const loadedAudio = await loadAudio(audioUrl);
-                  await transcribe(Array.from(loadedAudio));
+                  await transcribe(loadedAudio);
                 }
               }}
             >
diff --git a/src/Error.ts b/src/Error.ts
index 433447b7b2..bcb9133938 100644
--- a/src/Error.ts
+++ b/src/Error.ts
@@ -7,6 +7,11 @@ export enum ETError {
   LanguageNotSupported = 0x69,
   InvalidModelSource = 0xff,
 
+  //SpeechToText errors
+  MultilingualConfiguration = 0xa0,
+  MissingDataChunk = 0xa1,
+  StreamingNotStarted = 0xa2,
+
   // ExecuTorch mapped errors
   // Based on: https://github.com/pytorch/executorch/blob/main/runtime/core/error.h
   // System errors
@@ -34,7 +39,7 @@ export enum ETError {
   DelegateInvalidHandle = 0x32,
 }
 
-export const getError = (e: unknown | ETError): string => {
+export const getError = (e: unknown | ETError | Error): string => {
   if (typeof e === 'number') {
     if (e in ETError) return ETError[e] as string;
     return ETError[ETError.UndefinedError] as string;
@@ -43,9 +48,13 @@ export const getError = (e: unknown | ETError): string => {
   // try to extract number from message (can contain false positives)
   const error = e as Error;
   const errorCode = parseInt(error.message, 10);
+  const message = Number.isNaN(errorCode)
+    ? error.message
+    : ' ' + error.message.slice(`${errorCode}`.length).trimStart();
+
   const ETErrorMessage = (
     errorCode in ETError ? ETError[errorCode] : ETError[ETError.UndefinedError]
   ) as string;
 
-  return ETErrorMessage + error.message;
+  return ETErrorMessage + message;
 };
diff --git a/src/constants/sttDefaults.ts b/src/constants/sttDefaults.ts
index 119e5d2e7b..647c9a1468 100644
--- a/src/constants/sttDefaults.ts
+++ b/src/constants/sttDefaults.ts
@@ -77,4 +77,10 @@ export const MODES = {
   },
 };
 
-export const NUM_TOKENS_TO_SLICE = 3;
+export const NUM_TOKENS_TO_TRIM = 3;
+
+export enum STREAMING_ACTION {
+  START,
+  DATA,
+  STOP,
+}
diff --git a/src/controllers/SpeechToTextController.ts b/src/controllers/SpeechToTextController.ts
index 58eed4860a..5de5e6b3d8 100644
--- a/src/controllers/SpeechToTextController.ts
+++ b/src/controllers/SpeechToTextController.ts
@@ -3,7 +3,8 @@ import {
   MODEL_CONFIGS,
   SECOND,
   MODES,
-  NUM_TOKENS_TO_SLICE,
+  NUM_TOKENS_TO_TRIM,
+  STREAMING_ACTION,
 } from '../constants/sttDefaults';
 import { AvailableModels, ModelConfig } from '../types/stt';
 import { SpeechToTextNativeModule } from '../native/RnExecutorchModules';
@@ -12,17 +13,23 @@ import { ResourceSource } from '../types/common';
 import { ResourceFetcher } from '../utils/ResourceFetcher';
 import { longCommonInfPref } from '../utils/stt';
 import { SpeechToTextLanguage } from '../types/stt';
+import { ETError, getError } from '../Error';
 
 export class SpeechToTextController {
   private speechToTextNativeModule = SpeechToTextNativeModule;
 
-  private overlapSeconds!: number;
-  private windowSize!: number;
-  private chunks: number[][] = [];
   public sequence: number[] = [];
   public isReady = false;
   public isGenerating = false;
-  private nativeTokenizer = TokenizerModule;
+
+  private overlapSeconds!: number;
+  private windowSize!: number;
+  private chunks: number[][] = [];
+  private seqs: number[][] = [];
+  private prevSeq: number[] = [];
+  private waveform: number[] = [];
+  private numOfChunks = 0;
+  private streaming = false;
 
   // User callbacks
   private decodedTranscribeCallback: (sequence: number[]) => void;
@@ -31,7 +38,7 @@ export class SpeechToTextController {
     | undefined;
   private isReadyCallback: (isReady: boolean) => void;
   private isGeneratingCallback: (isGenerating: boolean) => void;
-  private onErrorCallback: ((error: any) => void) | undefined;
+  private onErrorCallback: (error: any) => void;
   private config!: ModelConfig;
 
   constructor({
@@ -64,7 +71,14 @@ export class SpeechToTextController {
       this.isGenerating = isGenerating;
       isGeneratingCallback?.(isGenerating);
     };
-    this.onErrorCallback = onErrorCallback;
+    this.onErrorCallback = (error) => {
+      if (onErrorCallback) {
+        onErrorCallback(error ? new Error(getError(error)) : undefined);
+        return;
+      } else {
+        throw new Error(getError(error));
+      }
+    };
     this.configureStreaming(
       overlapSeconds,
       windowSize,
@@ -78,12 +92,12 @@ export class SpeechToTextController {
     decoderSource?: ResourceSource,
     tokenizerSource?: ResourceSource
   ) {
-    this.onErrorCallback?.(undefined);
+    this.onErrorCallback(undefined);
     this.isReadyCallback(false);
     this.config = MODEL_CONFIGS[modelName];
 
     try {
-      await this.nativeTokenizer.load(
+      await TokenizerModule.load(
         tokenizerSource || this.config.tokenizer.source
       );
 
@@ -94,7 +108,7 @@ export class SpeechToTextController {
           decoderSource || this.config.sources.decoder
         );
     } catch (e) {
-      this.onErrorCallback?.(e);
+      this.onErrorCallback(e);
       return;
     }
 
@@ -114,9 +128,7 @@ export class SpeechToTextController {
       this.modelDownloadProgressCallback?.(1);
       this.isReadyCallback(true);
     } catch (e) {
-      this.onErrorCallback?.(
-        new Error(`Error when loading the SpeechToTextController! ${e}`)
-      );
+      this.onErrorCallback(e);
     }
   }
 
@@ -143,36 +155,36 @@ export class SpeechToTextController {
       this.windowSize = 30 * SECOND - 2 * this.overlapSeconds;
     }
   }
-  private chunkWaveform(waveform: number[]) {
-    this.chunks = [];
-    const numOfChunks = Math.ceil(waveform.length / this.windowSize);
-    for (let i = 0; i < numOfChunks; i++) {
-      let chunk = waveform.slice(
-        Math.max(this.windowSize * i - this.overlapSeconds, 0),
-        Math.min(
-          this.windowSize * (i + 1) + this.overlapSeconds,
-          waveform.length
-        )
+
+  private chunkWaveform() {
+    this.numOfChunks = Math.ceil(this.waveform.length / this.windowSize);
+    for (let i = 0; i < this.numOfChunks; i++) {
+      let chunk: number[] = [];
+      const left = Math.max(this.windowSize * i - this.overlapSeconds, 0);
+      const right = Math.min(
+        this.windowSize * (i + 1) + this.overlapSeconds,
+        this.waveform.length
       );
+      chunk = this.waveform.slice(left, right);
       this.chunks.push(chunk);
     }
   }
 
-  private checkCanTranscribe() {
-    if (!this.isReady) {
-      throw Error('Model is not yet ready');
-    }
-    if (this.isGenerating) {
-      throw Error('Model is already transcribing');
-    }
-  }
-
-  public async encode(waveform: number[]) {
-    return await this.speechToTextNativeModule.encode(waveform);
+  private resetState() {
+    this.sequence = [];
+    this.seqs = [];
+    this.waveform = [];
+    this.prevSeq = [];
+    this.chunks = [];
+    this.decodedTranscribeCallback([]);
+    this.onErrorCallback(undefined);
   }
 
-  public async decode(seq: number[], encodings: number[]) {
-    return await this.speechToTextNativeModule.decode(seq, encodings);
+  private expectedChunkLength() {
+    //only first chunk can be of shorter length, for first chunk there are no seqs decoded
+    return this.seqs.length
+      ? this.windowSize + 2 * this.overlapSeconds
+      : this.windowSize + this.overlapSeconds;
   }
 
   private async getStartingTokenIds(audioLanguage?: string): Promise<number[]> {
@@ -184,13 +196,10 @@ export class SpeechToTextController {
       return [this.config.tokenizer.bos];
     }
     // FIXME: I should use .getTokenId for the BOS as well, should remove it from config
-    const langTokenId = await this.nativeTokenizer.tokenToId(
-      `<|${audioLanguage}|>`
-    );
-    const transcribeTokenId =
-      await this.nativeTokenizer.tokenToId('<|transcribe|>');
+    const langTokenId = await TokenizerModule.tokenToId(`<|${audioLanguage}|>`);
+    const transcribeTokenId = await TokenizerModule.tokenToId('<|transcribe|>');
     const noTimestampsTokenId =
-      await this.nativeTokenizer.tokenToId('<|notimestamps|>');
+      await TokenizerModule.tokenToId('<|notimestamps|>');
     const startingTokenIds = [
       this.config.tokenizer.bos,
       langTokenId,
@@ -200,123 +209,144 @@ export class SpeechToTextController {
     return startingTokenIds;
   }
 
-  public async transcribe(
-    waveform: number[],
+  private async decodeChunk(
+    chunk: number[],
     audioLanguage?: SpeechToTextLanguage
-  ): Promise<string> {
+  ): Promise<number[]> {
+    const seq = await this.getStartingTokenIds(audioLanguage);
+    let prevSeqTokenIdx = 0;
+    this.prevSeq = this.sequence.slice();
     try {
-      this.checkCanTranscribe();
-    } catch (e) {
-      this.onErrorCallback?.(e);
-      return '';
+      await this.encode(chunk);
+    } catch (error) {
+      this.onErrorCallback(new Error(getError(error) + ' encoding error'));
+      return [];
     }
+    let lastToken = seq.at(-1) as number;
+    while (lastToken !== this.config.tokenizer.eos) {
+      try {
+        lastToken = await this.decode(seq);
+      } catch (error) {
+        this.onErrorCallback(new Error(getError(error) + ' decoding error'));
+        return [...seq, this.config.tokenizer.eos];
+      }
+      seq.push(lastToken);
+      if (
+        this.seqs.length > 0 &&
+        seq.length < this.seqs.at(-1)!.length &&
+        seq.length % 3 !== 0
+      ) {
+        this.prevSeq.push(this.seqs.at(-1)![prevSeqTokenIdx++]!);
+        this.decodedTranscribeCallback(this.prevSeq);
+      }
+    }
+    return seq;
+  }
+
+  private async handleOverlaps(seqs: number[][]): Promise<number[]> {
+    const maxInd = longCommonInfPref(
+      seqs.at(-2)!,
+      seqs.at(-1)!,
+      HAMMING_DIST_THRESHOLD
+    );
+    this.sequence = [...this.sequence, ...seqs.at(-2)!.slice(0, maxInd)];
+    this.decodedTranscribeCallback(this.sequence);
+    return this.sequence.slice();
+  }
 
-    if (!audioLanguage && this.config.isMultilingual) {
-      this.onErrorCallback?.(
-        new Error(
-          'Language parameter was not provided for a multilingual model. Please pass lang parameter to the transcribe.'
-        )
+  private trimLeft(numOfTokensToTrim: number) {
+    const idx = this.seqs.length - 1;
+    if (this.seqs[idx]![0] === this.config.tokenizer.bos) {
+      this.seqs[idx] = this.seqs[idx]!.slice(numOfTokensToTrim);
+    }
+  }
+
+  private trimRight(numOfTokensToTrim: number) {
+    const idx = this.seqs.length - 2;
+    if (this.seqs[idx]!.at(-1) === this.config.tokenizer.eos) {
+      this.seqs[idx] = this.seqs[idx]!.slice(0, -numOfTokensToTrim);
+    }
+  }
+
+  // since we are calling this every time (except first) after a new seq is pushed to this.seqs
+  // we can only trim left the last seq and trim right the second to last seq
+  private async trimSequences(audioLanguage?: string) {
+    const numSpecialTokens = (await this.getStartingTokenIds(audioLanguage))
+      .length;
+    this.trimLeft(numSpecialTokens + NUM_TOKENS_TO_TRIM);
+    this.trimRight(numSpecialTokens + NUM_TOKENS_TO_TRIM);
+  }
+
+  // if last chunk is too short combine it with second to last to improve quality
+  private validateAndFixLastChunk() {
+    const lastChunkLength = this.chunks.at(-1)!.length / SECOND;
+    const secondToLastChunkLength = this.chunks.at(-2)!.length / SECOND;
+    if (lastChunkLength < 5 && secondToLastChunkLength + lastChunkLength < 30) {
+      this.chunks[this.chunks.length - 2] = [
+        ...this.chunks.at(-2)!.slice(0, -this.overlapSeconds * 2),
+        ...this.chunks.at(-1)!,
+      ];
+      this.chunks = this.chunks.slice(0, -1);
+    }
+  }
+
+  private async tokenIdsToText(tokenIds: number[]): Promise<string> {
+    try {
+      return TokenizerModule.decode(tokenIds, true);
+    } catch (e) {
+      this.onErrorCallback(
+        new Error(`An error has occurred when decoding the token ids: ${e}`)
       );
       return '';
-    } else if (audioLanguage && !this.config.isMultilingual) {
-      this.onErrorCallback?.(
-        new Error(
-          'Language parameter was passed to a non-multilingual model. Please either use a multilingual version or delete the lang parameter.'
-        )
-      );
+    }
+  }
+
+  public async transcribe(
+    waveform: number[],
+    audioLanguage?: SpeechToTextLanguage
+  ): Promise<string> {
+    try {
+      if (!this.isReady) throw Error(getError(ETError.ModuleNotLoaded));
+      if (this.isGenerating || this.streaming)
+        throw Error(getError(ETError.ModelGenerating));
+      if (!!audioLanguage !== this.config.isMultilingual)
+        throw new Error(getError(ETError.MultilingualConfiguration));
+    } catch (e) {
+      this.onErrorCallback(e);
       return '';
     }
 
     // Making sure that the error is not set when we get there
-    this.onErrorCallback?.(undefined);
     this.isGeneratingCallback(true);
 
-    this.chunkWaveform(waveform);
+    this.resetState();
+    this.waveform = waveform;
+    this.chunkWaveform();
+    this.validateAndFixLastChunk();
 
-    this.sequence = [];
-    let seqs: number[][] = [];
-    let prevSeq: number[] = [];
     for (let chunkId = 0; chunkId < this.chunks.length; chunkId++) {
-      let prevSeqTokenIdx = 0;
-      let finalSeq: number[] = [];
-
-      let seq = await this.getStartingTokenIds(audioLanguage);
-      const numSpecialTokens = seq.length;
-      let encoderOutput;
-      try {
-        encoderOutput = await this.speechToTextNativeModule.encode(
-          this.chunks!.at(chunkId)!
-        );
-      } catch (error) {
-        this.onErrorCallback?.(`An error has occurred while encoding ${error}`);
-        return '';
-      }
-
-      let lastToken = seq.at(-1) as number;
-      while (lastToken !== this.config.tokenizer.eos) {
-        try {
-          // Returns a single predicted token
-          lastToken = await this.speechToTextNativeModule.decode(
-            seq,
-            encoderOutput
-          );
-        } catch (error) {
-          this.onErrorCallback?.(
-            `An error has occurred while decoding: ${error}`
-          );
-          return '';
-        }
-        seq.push(lastToken);
-        if (
-          seqs.length > 0 &&
-          seq.length < seqs.at(-1)!.length &&
-          seq.length % 3 !== 0
-        ) {
-          prevSeq.push(seqs.at(-1)![prevSeqTokenIdx++]!);
-          this.decodedTranscribeCallback(prevSeq);
-        }
-      }
-
+      const seq = await this.decodeChunk(this.chunks!.at(chunkId)!);
+      // whole audio is inside one chunk, no processing required
       if (this.chunks.length === 1) {
-        finalSeq = seq;
-        this.sequence = finalSeq;
-        this.decodedTranscribeCallback(finalSeq);
+        this.sequence = seq;
+        this.decodedTranscribeCallback(seq);
         break;
       }
+      this.seqs.push(seq);
 
-      // Remove starting tokenIds and 3 additional ones
-      if (seqs.length === 0) {
-        seqs = [seq.slice(0, -(numSpecialTokens + NUM_TOKENS_TO_SLICE))];
-      } else if (seqs.length === this.chunks.length - 1) {
-        seqs.push(seq.slice(numSpecialTokens + NUM_TOKENS_TO_SLICE));
-      } else {
-        seqs.push(
-          seq.slice(
-            numSpecialTokens + NUM_TOKENS_TO_SLICE,
-            -(numSpecialTokens + NUM_TOKENS_TO_SLICE)
-          )
-        );
-      }
-      if (seqs.length < 2) {
-        continue;
-      }
+      if (this.seqs.length < 2) continue;
 
-      const maxInd = longCommonInfPref(
-        seqs.at(-2)!,
-        seqs.at(-1)!,
-        HAMMING_DIST_THRESHOLD
-      );
-      finalSeq = [...this.sequence, ...seqs.at(-2)!.slice(0, maxInd)];
-      this.sequence = finalSeq;
-      this.decodedTranscribeCallback(finalSeq);
-      prevSeq = finalSeq;
+      // Remove starting tokenIds and some additional ones
+      await this.trimSequences(audioLanguage);
+
+      this.prevSeq = await this.handleOverlaps(this.seqs);
 
       // last sequence processed
-      if (seqs.length === this.chunks.length) {
-        finalSeq = [...this.sequence, ...seqs.at(-1)!];
-        this.sequence = finalSeq;
-        this.decodedTranscribeCallback(finalSeq);
-        prevSeq = finalSeq;
+      // overlaps are already handled, so just append the last seq
+      if (this.seqs.length === this.chunks.length) {
+        this.sequence = [...this.sequence, ...this.seqs.at(-1)!];
+        this.decodedTranscribeCallback(this.sequence);
+        this.prevSeq = this.sequence;
       }
     }
     const decodedText = await this.tokenIdsToText(this.sequence);
@@ -324,14 +354,100 @@ export class SpeechToTextController {
     return decodedText;
   }
 
-  private async tokenIdsToText(tokenIds: number[]): Promise<string> {
+  public async streamingTranscribe(
+    streamAction: STREAMING_ACTION,
+    waveform?: number[],
+    audioLanguage?: SpeechToTextLanguage
+  ): Promise<string> {
     try {
-      return this.nativeTokenizer.decode(tokenIds, true);
+      if (!this.isReady) throw Error(getError(ETError.ModuleNotLoaded));
+      if (!!audioLanguage !== this.config.isMultilingual)
+        throw new Error(getError(ETError.MultilingualConfiguration));
+
+      if (
+        streamAction === STREAMING_ACTION.START &&
+        !this.streaming &&
+        this.isGenerating
+      )
+        throw Error(getError(ETError.ModelGenerating));
+      if (streamAction === STREAMING_ACTION.START && this.streaming)
+        throw Error(getError(ETError.ModelGenerating));
+      if (streamAction === STREAMING_ACTION.DATA && !this.streaming)
+        throw Error(getError(ETError.StreamingNotStarted));
+      if (streamAction === STREAMING_ACTION.STOP && !this.streaming)
+        throw Error(getError(ETError.StreamingNotStarted));
+      if (streamAction === STREAMING_ACTION.DATA && !waveform)
+        throw new Error(getError(ETError.MissingDataChunk));
     } catch (e) {
-      this.onErrorCallback?.(
-        new Error(`An error has occurred when decoding the token ids: ${e}`)
-      );
+      this.onErrorCallback(e);
       return '';
     }
+
+    if (streamAction === STREAMING_ACTION.START) {
+      this.resetState();
+      this.streaming = true;
+      this.isGeneratingCallback(true);
+    }
+
+    this.waveform = [...this.waveform, ...(waveform || [])];
+
+    // while buffer has at least required size get chunk and decode
+    while (this.waveform.length >= this.expectedChunkLength()) {
+      const chunk = this.waveform.slice(
+        0,
+        this.windowSize +
+          this.overlapSeconds * (1 + Number(this.seqs.length > 0))
+      );
+      this.chunks = [chunk]; //save last chunk for STREAMING_ACTION.STOP
+      this.waveform = this.waveform.slice(
+        this.windowSize - this.overlapSeconds * Number(this.seqs.length === 0)
+      );
+      const seq = await this.decodeChunk(chunk, audioLanguage);
+      this.seqs.push(seq);
+
+      if (this.seqs.length < 2) continue;
+
+      await this.trimSequences(audioLanguage);
+      await this.handleOverlaps(this.seqs);
+    }
+
+    // got final package, process all remaining waveform data
+    // since we run the loop above the waveform has at most one chunk in it
+    if (streamAction === STREAMING_ACTION.STOP) {
+      // pad remaining waveform data with previous chunk to this.windowSize + 2 * this.overlapSeconds
+      const chunk = this.chunks.length
+        ? [
+            ...this.chunks[0]!.slice(0, this.windowSize),
+            ...this.waveform,
+          ].slice(-this.windowSize - 2 * this.overlapSeconds)
+        : this.waveform;
+
+      this.waveform = [];
+      const seq = await this.decodeChunk(chunk, audioLanguage);
+      this.seqs.push(seq);
+      await this.trimSequences(audioLanguage);
+
+      if (this.seqs.length === 1) {
+        this.sequence = this.seqs[0]!;
+      } else {
+        await this.handleOverlaps(this.seqs);
+        this.sequence = [...this.sequence, ...this.seqs.at(-1)!];
+      }
+      this.decodedTranscribeCallback(this.sequence);
+      this.isGeneratingCallback(false);
+      this.streaming = false;
+    }
+
+    const decodedText = await this.tokenIdsToText(this.sequence);
+
+    return decodedText;
+  }
+
+  public async encode(waveform: number[]) {
+    return await this.speechToTextNativeModule.encode(waveform);
+  }
+
+  public async decode(seq: number[], encodings?: number[]) {
+    return await this.speechToTextNativeModule.decode(seq, encodings || []);
   }
 }
diff --git a/src/hooks/natural_language_processing/useSpeechToText.ts b/src/hooks/natural_language_processing/useSpeechToText.ts
index 46f1363c5b..5e676dd4b3 100644
--- a/src/hooks/natural_language_processing/useSpeechToText.ts
+++ b/src/hooks/natural_language_processing/useSpeechToText.ts
@@ -1,6 +1,7 @@
 import { useEffect, useMemo, useState } from 'react';
 import { SpeechToTextController } from '../../controllers/SpeechToTextController';
 import { ResourceSource } from '../../types/common';
+import { STREAMING_ACTION } from '../../constants/sttDefaults';
 import { AvailableModels, SpeechToTextLanguage } from '../../types/stt';
 
 interface SpeechToTextModule {
@@ -14,6 +15,11 @@ interface SpeechToTextModule {
     input: number[],
     audioLanguage?: SpeechToTextLanguage
   ) => ReturnType<SpeechToTextController['transcribe']>;
+  streamingTranscribe: (
+    streamAction: STREAMING_ACTION,
+    input?: number[],
+    audioLanguage?: SpeechToTextLanguage
+  ) => ReturnType<SpeechToTextController['streamingTranscribe']>;
 }
 
 export const useSpeechToText = ({
@@ -82,5 +88,10 @@ export const useSpeechToText = ({
     error,
     transcribe: (waveform: number[], audioLanguage?: SpeechToTextLanguage) =>
       model.transcribe(waveform, audioLanguage),
+    streamingTranscribe: (
+      streamAction: STREAMING_ACTION,
+      waveform?: number[],
+      audioLanguage?: SpeechToTextLanguage
+    ) => model.streamingTranscribe(streamAction, waveform, audioLanguage),
   };
 };
diff --git a/src/index.tsx b/src/index.tsx
index 9519e2aada..1871fd4482 100644
--- a/src/index.tsx
+++ b/src/index.tsx
@@ -44,3 +44,4 @@ export { SpeechToTextLanguage };
 export * from './constants/modelUrls';
 export * from './constants/ocr/models';
 export * from './constants/llmDefaults';
+export { STREAMING_ACTION, MODES } from './constants/sttDefaults';
diff --git a/src/modules/natural_language_processing/SpeechToTextModule.ts b/src/modules/natural_language_processing/SpeechToTextModule.ts
index 8bad71cc3b..9a0a77a673 100644
--- a/src/modules/natural_language_processing/SpeechToTextModule.ts
+++ b/src/modules/natural_language_processing/SpeechToTextModule.ts
@@ -1,6 +1,7 @@
 import { ResourceSource } from '../../types/common';
 import { SpeechToTextController } from '../../controllers/SpeechToTextController';
 import { AvailableModels, SpeechToTextLanguage } from '../../types/stt';
+import { STREAMING_ACTION } from '../../constants/sttDefaults';
 
 export class SpeechToText {
   static module: SpeechToTextController;
@@ -65,4 +66,16 @@ export class SpeechToText {
   ): ReturnType<SpeechToTextController['transcribe']> {
     return await this.module.transcribe(waveform, audioLanguage);
   }
+
+  static async streamingTranscribe(
+    streamAction: STREAMING_ACTION,
+    waveform?: number[],
+    audioLanguage?: SpeechToTextLanguage
+  ): ReturnType<SpeechToTextController['streamingTranscribe']> {
+    return await this.module.streamingTranscribe(
+      streamAction,
+      waveform,
+      audioLanguage
+    );
+  }
 }