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

Boris Doval, Baris Bozkurt, Christophe D'Alessandro, Thierry Dutoit

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.

doi: 10.21437/Interspeech.2004-380

Cite as: Doval, B., Bozkurt, B., D'Alessandro, C., Dutoit, T. (2004) Zeros of z-transform (ZZT) decomposition of speech for source-tract separation. Proc. Interspeech 2004, 1093-1096, doi: 10.21437/Interspeech.2004-380

@inproceedings{doval04_interspeech,
  author={Boris Doval and Baris Bozkurt and Christophe D'Alessandro and Thierry Dutoit},
  title={{Zeros of z-transform (ZZT) decomposition of speech for source-tract separation}},
  year=2004,
  booktitle={Proc. Interspeech 2004},
  pages={1093--1096},
  doi={10.21437/Interspeech.2004-380}
}