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Term Project at GTCMT exploring phase based features for Singing Voice Detection with Neural Networks

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Singing-Voice-Detection-GeorgiaTech-MUSI7100-spring17

Detects regions in audio where singing voice is present. Singing voice may be monophonic or even contain overlapping instrumentation/orchestration or noise. SVM and DNNs are explored in this project. The input feature representation is also explored, where the conventional spectral features extracted from the magnitude response are replaced with features extracted from the phase response.

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Pre-requisite

  • Python 3
  • Matlab
  • sklearn
  • numpy and
  • tensorflow.

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Term Project at GTCMT exploring phase based features for Singing Voice Detection with Neural Networks

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