Zeros of z-transform (ZZT) decomposition of speech for source-tract separation

نویسندگان

  • Boris Doval
  • Baris Bozkurt
  • Christophe d'Alessandro
  • Thierry Dutoit
چکیده

This study proposes a new spectral decomposition method for source-tract separation. It is based on a new spectral representation called the Zeros of Z-Transform (ZZT), which is an all-zero representation of the z-transform of the signal. We show that separate patterns exist in ZZT representations of speech signals for the glottal flow and the vocal tract contributions. The ZZT-decomposition is simply composed of grouping the zeros into two sets, according to their location in the z-plane. This type of decomposition leads to separating glottal flow contribution (without a return phase) from vocal tract contributions in z domain.

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تاریخ انتشار 2004