Add README for unified ASR app

Author: kirklandsign

asr/android/AsrApp/README.md

@@ -0,0 +1,37 @@
+# ASR Demo App
+
+This app demonstrates running speech recognition models on Android using ExecuTorch. It supports both **Whisper** and **Parakeet** model families.
+
+## Supported Models
+
+| Model | Type | Details |
+|-------|------|---------|
+| Whisper Tiny/Small/Medium (INT8/INT4) | Streaming | Requires model, tokenizer, and preprocessor |
+| Whisper Tiny/Small/Medium (FP32) | Streaming | Requires model, tokenizer, and preprocessor |
+| Parakeet TDT 0.6B (INT4) | Synchronous | Requires model and tokenizer |
+
+## Export Model Files
+
+- **Whisper**: Follow the instructions at https://github.com/pytorch/executorch/tree/main/examples/models/whisper
+- **Parakeet**: Follow the instructions at https://github.com/pytorch/executorch/tree/main/examples/models/parakeet
+
+## Run the App
+
+1. Open AsrApp in Android Studio
+2. Copy the `executorch.aar` library (with ASR and Parakeet JNI bindings) into `app/libs/`
+3. Build and run on device
+
+## Download Models
+
+The app includes a built-in download screen to fetch models from HuggingFace. Alternatively, push files manually:
+
+```bash
+adb push model.pte /data/local/tmp/asr/
+adb push tokenizer.json /data/local/tmp/asr/
+adb push whisper_preprocessor.pte /data/local/tmp/asr/  # Whisper only
+```
+
+## Recording Behavior
+
+- **Whisper**: Click to start recording; automatically stops after 30 seconds
+- **Parakeet**: Click to start recording; click again to stop (no time limit)