A Flutter plugin that enables real-time piano sound detection using a Google Magenta TensorFlow Lite model. It processes audio input from device microphones to identify piano notes, making it ideal for music applications requiring immediate audio recognition. The plugin supports both Android and iOS platforms, offering seamless integration into cross-platform apps. Designed for developers working on interactive music tools, educational apps, or live performance software.
Use cases
- Real-time piano note recognition
- Interactive music learning apps
- Live audio analysis in musical instruments
- Music transcription tools
- Gesture-based music input systems
Key features
- Uses Google Magenta TFLite model
- Real-time audio processing
- Cross-platform support (Android & iOS)
- Lightweight inference engine
- Simple API for audio stream integration
Suitable for
- Music app developers
- Educational technology creators
- Audio analysis projects
- Flutter developers building interactive music tools
- Real-time signal processing applications
Considerations
- Requires microphone permissions
- Performance depends on device hardware
- Limited to piano sounds only
- Background audio processing may impact battery life
- Model accuracy varies with audio quality