Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2462
Title: Complex cepstrum-based decomposition of speech for glottal source estimation
Authors: Drugman, Thomas
Bozkurt, Barış
Dutoit, Thierry
Keywords: Speech communication
Speech analysis
Homomorphic processing
Glottal source estimation
Issue Date: 2009
Publisher: International Speech Communication Association
Source: Drugman, T., Bozkurt, B., and Dutoit, T. (2009, September). Complex cepstrum-based decomposition of speech for glottal source estimation. Paper presented at the 10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009, Brighton, United Kingdom.
Abstract: Homomorphic analysis is a well-known method for the separation of non-linearly combined signals. More particularly, the use of complex cepstrum for source-tract deconvolution has been discussed in various articles. However there exists no study which proposes a glottal flow estimation methodology based on cepstrum and reports effective results. In this paper, we show that complex cepstrum can be effectively used for glottal flow estimation by separating the causal and anticausal components of a windowed speech signal as done by the Zeros of the Z-Transform (ZZT) decomposition. Based on exactly the same principles presented for ZZT decomposition, windowing should be applied such that the windowed speech signals exhibit mixed-phase characteristics which conform the speech production model that the anticausal component is mainly due to the glottal flow open phase. The advantage of the complex cepstrum-based approach compared to the ZZT decomposition is its much higher speed.
URI: http://hdl.handle.net/11147/2462
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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