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Published 26 days ago • Latest: 0.3.0
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Real-time and file-based snoring detection using TensorFlow Lite. Simple API for audio classification with configurable thresholds.

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0.1.0 #

  • Initial release of Flutter Snore Detection package
  • Real-time snoring detection from device microphone
  • File-based detection for analyzing pre-recorded audio
  • Quantized TensorFlow Lite model (214KB) for efficient on-device inference
  • Configurable confidence thresholds to reduce false positives
  • Stream-based API for live detection results
  • Cross-platform support (iOS and Android)
  • Comprehensive API documentation with examples
  • Unit tests for core functionality
  • Example app demonstrating live and file detection

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Metadata

Real-time and file-based snoring detection using TensorFlow Lite. Simple API for audio classification with configurable thresholds.

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Topics

#snoring #audio #machine-learning #tflite #audio-classification

License

unknown (license)

Dependencies

fftea, flutter, path_provider, permission_handler, record, tflite_flutter

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