Source-filter Based Clustering for Monaural Blind Source Separation

  title={Source-filter Based Clustering for Monaural Blind Source Separation},
  author={Volker Gnann},
In monaural blind audio source separation scenarios, a sign l mixture is usually separated into more signals than active sour ces. Therefore it is necessary to group the separated signals to t he final source estimations. Traditionally grouping methods are su p rvised and thus need a learning step on appropriate training data. I n contrast, we discuss unsupervised clustering of the separated channels by Mel frequency cepstrum coefficients (MFCC). We show that replacing the decorrelation step of… CONTINUE READING
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