Spectrogram Factorization Using Phase Information

نویسندگان

  • R. Mitchell Parry
  • Irfan Essa
چکیده

Spectrogram factorization methods have been proposed for single channel source separation [1–4], audio analysis [5–8] and more recently multichannel source separation [9–11]. All spectrogram factorization approaches incorrectly assume that the mixture spectrogram is the sum of the source spectrograms. In fact, the mixture spectrogram depends on the source spectrograms and the phase difference between them. This paper investigates the role of phase in determining the mixture spectrogram and incorporates a probabilistic representation of phase into a novel method for source spectrogram estimation.

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تاریخ انتشار 2006