Speech Recognition with Whisper

Build a speech recognition system using Whisper.

Requirements:
- Languages: [LANGUAGE(S)]
- Audio source: [MICROPHONE/FILES/STREAMING]
- Use case: [TRANSCRIPTION/SUBTITLES/VOICE COMMANDS]
- Accuracy needs: [STANDARD/HIGH]

Whisper implementation:
1. Model setup:
   - Model size selection (tiny to large-v3)
   - Device optimization
   - Memory management
2. Audio preprocessing:
   - Format conversion
   - Resampling
   - Chunking for long audio
3. Transcription:
   - Basic transcription
   - Word-level timestamps
   - Speaker diarization
4. Language handling:
   - Language detection
   - Forced language
   - Translation mode
5. Post-processing:
   - Punctuation restoration
   - Text formatting
   - Confidence scores
6. Fine-tuning:
   - Domain-specific vocabulary
   - Accent adaptation
   - Custom dataset preparation
7. Production:
   - Real-time streaming
   - Batch processing
   - API wrapper

Optimize for low-latency applications.