Add advanced examples for text processing, batch processing, ML integration, and real-time WebRTC TTS

- Introduced advanced text processing capabilities with emotional expressions, pauses, and voice effects in `advanced_text_processing.py`.
- Implemented batch processing and queue management features in `batch_processing_queue.py`, including priority-based tasks and error handling.
- Added machine learning integration for content analysis and voice selection in `ml_integration.py`.
- Developed real-time TTS with WebRTC integration for live applications in `realtime_webrtc_integration.py`.

These examples enhance the functionality and usability of the Edge-TTS library for various applications.

Author: labKnowledge

docs/ENHANCED_FEATURES.md

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+# Enhanced Edge-TTS Quick Reference
+
+## 🚀 Quick Start
+
+```python
+import edge_tts
+
+# Simple AI-powered TTS
+result = await edge_tts.speak_intelligently("Hello world!", "output.mp3")
+
+# Advanced control
+enhanced = edge_tts.EnhancedCommunicate("Text with [pause:medium] effects!")
+await enhanced.save("output.mp3")
+```
+
+## 🎭 Text Effects
+
+### Pause Effects
+```python
+"[pause:short]"     # 0.5s pause
+"[pause:medium]"    # 1s pause
+"[pause:long]"      # 2s pause
+"[pause:extra_long]" # 3s pause
+```
+
+### Emotion Effects
+```python
+"[emotion:happy]"     # Happy voice
+"[emotion:sad]"       # Sad voice
+"[emotion:excited]"   # Excited voice
+"[emotion:calm]"      # Calm voice
+"[emotion:angry]"     # Angry voice
+"[emotion:surprised]" # Surprised voice
+"[emotion:neutral]"   # Neutral voice
+```
+
+### Sound Effects
+```python
+"[laugh]"    # Laughter
+"[sigh]"     # Sigh
+"[whisper]"  # Whisper
+"[shout]"    # Shout
+```
+
+### Voice Parameters
+```python
+"[speed:+50%]"   # 50% faster
+"[speed:-30%]"   # 30% slower
+"[pitch:+100Hz]" # Higher pitch
+"[pitch:-50Hz]"  # Lower pitch
+"[volume:+20%]"  # Louder
+"[volume:-15%]"  # Quieter
+```
+
+## 📊 Batch Processing
+
+```python
+# Simple batch processing
+texts = ["Text 1", "Text 2", "Text 3"]
+results = await edge_tts.batch_speak(texts, output_prefix="batch")
+
+# Advanced batch processing
+processor = edge_tts.BatchProcessor(max_concurrent=5)
+results = await processor.process_batch(texts, voices, "output")
+```
+
+## 🧠 Content Analysis
+
+```python
+# Analyze content
+analyzer = edge_tts.ContentAnalyzer()
+analysis = analyzer.analyze_content("Breaking news!")
+
+print(f"Type: {analysis.content_type.value}")      # news
+print(f"Emotion: {analysis.emotion.value}")        # excited
+print(f"Voice: {analysis.recommended_voice}")     # en-US-AriaNeural
+```
+
+## 🎵 Voice Profiles
+
+```python
+# Access voice characteristics
+profile = edge_tts.VoiceProfile(
+    voice_name='Aria',
+    gender='Female',
+    characteristics={'warm': 0.8, 'professional': 0.9}
+)
+```
+
+## ⚡ Real-time Features
+
+```python
+# WebRTC integration
+class RealtimeTTS:
+    async def speak_live(self, text: str):
+        enhanced = edge_tts.EnhancedCommunicate(text)
+        # Stream audio data
+        return audio_data
+```
+
+## 🎯 Common Use Cases
+
+### Podcast Production
+```python
+script = "Welcome [pause:medium] to our [emotion:excited] show!"
+result = await edge_tts.speak_intelligently(script, "podcast.mp3")
+```
+
+### Educational Content
+```python
+lesson = "Today we'll learn [speed:-20%] about photosynthesis [pause:short]"
+enhanced = edge_tts.EnhancedCommunicate(lesson)
+await enhanced.save("lesson.mp3")
+```
+
+### News Broadcasting
+```python
+news = "Breaking news [pause:short] [emotion:surprised] [volume:+10%]!"
+result = await edge_tts.speak_intelligently(news, "news.mp3")
+```
+
+### Interactive Dialogue
+```python
+dialogue = """
+Character A: Hello [emotion:happy]! How are you?
+Character B: I'm great [laugh]! Thanks for asking.
+"""
+enhanced = edge_tts.EnhancedCommunicate(dialogue)
+await enhanced.save("dialogue.mp3")
+```
+
+## 🔧 Advanced Features
+
+### Custom Voice Parameters
+```python
+enhanced = edge_tts.EnhancedCommunicate("Custom text")
+params = enhanced.get_voice_parameters()
+print(f"Rate: {params['rate']}")
+print(f"Volume: {params['volume']}")
+print(f"Pitch: {params['pitch']}")
+```
+
+### Effect Processing
+```python
+enhanced = edge_tts.EnhancedCommunicate("Text with [pause:medium] effects!")
+print(f"Effects: {len(enhanced.effects)}")
+for effect in enhanced.effects:
+    print(f"- {effect.effect_type}: {effect.parameters}")
+```
+
+### Error Handling
+```python
+try:
+    result = await edge_tts.speak_intelligently(text, "output.mp3")
+except Exception as e:
+    # Fallback to basic TTS
+    communicate = edge_tts.Communicate(text, "en-US-AriaNeural")
+    await communicate.save("output.mp3")
+```
+
+## 📈 Performance Tips
+
+### Memory Management
+```python
+# Process in chunks for large datasets
+chunk_size = 10
+for i in range(0, len(texts), chunk_size):
+    chunk = texts[i:i + chunk_size]
+    results = await edge_tts.batch_speak(chunk, f"chunk_{i//chunk_size}")
+```
+
+### Caching
+```python
+# Cache repeated content
+cache_key = hashlib.md5(text.encode()).hexdigest()
+if os.path.exists(f"cache/{cache_key}.mp3"):
+    return f"cache/{cache_key}.mp3"
+```
+
+## 🎉 Complete Example
+
+```python
+import edge_tts
+import asyncio
+
+async def main():
+    # Professional podcast with effects
+    script = """
+    Welcome to Tech Talk [pause:medium] with your host [emotion:excited] Sarah!
+    Today we're discussing [emotion:surprised] artificial intelligence [pause:short]
+    and its impact on [emotion:calm] our daily lives.
+    """
+    
+    # Generate with AI voice selection
+    result = await edge_tts.speak_intelligently(script, "podcast.mp3")
+    
+    print(f"Voice used: {result['voice_used']}")
+    print(f"Content type: {result['analysis'].content_type.value}")
+    print(f"Emotion: {result['analysis'].emotion.value}")
+    print(f"Parameters: {result['parameters']}")
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+## 📚 API Reference
+
+### Core Classes
+- `EnhancedCommunicate`: Main enhanced TTS class
+- `ContentAnalyzer`: ML-powered content analysis
+- `AdvancedTextProcessor`: Text effects processing
+- `BatchProcessor`: Enterprise batch processing
+- `VoiceProfile`: Voice characteristics
+
+### Convenience Functions
+- `speak_intelligently()`: Simple AI-powered TTS
+- `batch_speak()`: Batch processing with AI
+
+### Enums
+- `ContentType`: News, Story, Technical, Educational, etc.
+- `EmotionType`: Happy, Sad, Excited, Calm, etc.
+- `PauseType`: Short, Medium, Long, Extra Long
+
+## 🚨 Troubleshooting
+
+### Common Issues
+1. **403 Error**: Update edge-tts to latest version
+2. **ML Dependencies**: Install scikit-learn, transformers
+3. **Memory Issues**: Use chunked processing
+4. **Voice Selection**: Check content analysis results
+
+### Debug Mode
+```python
+import logging
+logging.basicConfig(level=logging.DEBUG)
+
+# Enhanced TTS with debug info
+enhanced = edge_tts.EnhancedCommunicate("Debug text")
+print(f"Analysis: {enhanced.get_analysis()}")
+print(f"Effects: {enhanced.get_effects()}")
+print(f"Parameters: {enhanced.get_voice_parameters()}")
+```
+
+## 🎯 Best Practices
+
+1. **Use AI Voice Selection**: Let the library choose optimal voices
+2. **Combine Effects**: Mix multiple effects for rich audio
+3. **Batch Processing**: Use for large-scale applications
+4. **Error Handling**: Always implement fallbacks
+5. **Performance**: Use caching and chunked processing
+6. **Testing**: Test with different content types and emotions
+
+## 📞 Support
+
+- **Documentation**: [ENHANCED_FEATURES.md](ENHANCED_FEATURES.md)
+- **Examples**: [examples/](examples/)
+- **Issues**: GitHub Issues
+- **Community**: GitHub Discussions
+
+---
+
+**Happy TTS Generation! 🎉**