End-to-End-Audio-Recognition

The web has been deployed on 121.40.161.184, one can directly access on http://121.40.161.184:8484/music_voice.html(for audio to text translate) and http://121.40.161.184:8484/search.html(for search in database through keyword).

Dependencies

• Python 2.x
• HBase
• For downloading m3u8 audio stream and convert to wav files:
  • FFmpeg
• For audio classification and segmentation tasks:
  • PyAudioAnalysis
• For segmenting an audio file (wav) into pieces:
  • Pydub
• For audio recognition and translate to text:
  • Baidu speech recognition API

Workflow

1. Prepare audio files for training model (train-model.py)
2. Use pre-trained model to classify targeted audio segments (audio-classifier.py)
3. Filter to get optimized the audio segments (audio_filter.py)
4. Segment an audio file into pieces according to segment points (audio-segmenter.py)
5. For each audio segment, do audio to text translation (audio_recognition.py)
6. Save the result data in HBase (pythrift.py)

Demo