- Update `.env.example` with comprehensive speech and AI configuration options
- Modify Docker Compose speech configuration for more flexible audio and ASR settings
- Enhance Dockerfile to support Python virtual environment and speech dependencies
- Refactor environment loading to use Bun's file system utilities
- Improve device listing tool with more detailed device statistics
- Add support for multiple AI models and dynamic configuration
- Update Dockerfile to enhance audio setup and user management
- Modify setup-audio.sh to add robust PulseAudio socket and device checks
- Add proper user and directory permissions for audio and model directories
- Simplify container startup process and improve audio device detection
- Add audio setup script for PulseAudio configuration
- Improve wake word detection with advanced noise filtering
- Implement continuous transcription and command processing
- Update speech Dockerfile with additional audio dependencies
- Enhance logging and error handling in wake word detector
- Implement multi-stage builds for main and speech Dockerfiles
- Reduce image size by using slim base images
- Improve dependency installation with frozen lockfile and production flags
- Add resource constraints and healthcheck to speech service Dockerfile
- Enhance build caching and separation of build/runtime dependencies
- Add comprehensive speech configuration in .env.example and app config
- Update Docker speech Dockerfile for more flexible model handling
- Create detailed README for speech-to-text examples
- Implement example script demonstrating speech features
- Improve speech service initialization and configuration management
- Implement SpeechToText class with Docker-based transcription capabilities
- Add wake word detection using OpenWakeWord and fast-whisper models
- Create Dockerfile for speech processing container
- Develop comprehensive test suite for speech recognition functionality
- Include audio processing and event-driven transcription features
