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vad

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937ab06ca51a5e496a21056248ab269c1c8b0c16

Merge pull request #11 from mwv/dependabot/pip/wheel-0.38.1

mmwv committed 2 years ago
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9757f19471c95b8d66a6a5b396c6ce80ce1561c3

Bump wheel from 0.23.0 to 0.38.1

ddependabot[bot] committed 2 years ago
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Merge pull request #10 from HorieYuan/updatedocstring

mmwv committed 5 years ago
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477a59bc83b2f96951a6bc79900392c3d19bd356

Update docstring

HHorieYuan committed 5 years ago
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9a7a2557ab95112b792679925a2072669d058e53

exception for short signals

mmwv committed 8 years ago
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11440d97922a8038c8a73aa2e4e37c93c6ddaf63

make threshold parameter optional

mmwv committed 8 years ago

README

The README file for this repository.

#+AUTHOR: Maarten Versteegh

  • vad This is a straight-forward re-implementation of Bowon Lee's Voice Activity Detector. The relevant paper to cite is: Bowon Lee and Mark Hasegawa-Johnson, "Minimum Mean-squared Error A Posteriori Estimation of High Variance Vehicular Noise". Please cite that paper when using this code for research purposes.

** Usage : >>> from vad import VAD : >>> detector = VAD(fs=16000) : >>> speech = detector.detect_speech(sig, threshold=0.5)

** Requirements

  • python>=2.7 / python>=3.0
  • numpy>=1.8.0
  • scipy>=0.14.0