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Causal-anticausal decomposition of speech using complex cepstrum for glottal source estimation

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Date
2011-07
Author
Drugman, Thomas
Bozkurt, Barış
Dutoit, Thierry
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Abstract
Complex cepstrum is known in the literature for linearly separating causal and anticausal components. Relying on advances achieved by the Zeros of the Z-Transform (ZZT) technique, we here investigate the possibility of using complex cepstrum for glottal flow estimation on a large-scale database. Via a systematic study of the windowing effects on the deconvolution quality, we show that the complex cepstrum causal-anticausal decomposition can be effectively used for glottal flow estimation when specific windowing criteria are met. It is also shown that this complex cepstral decomposition gives similar glottal estimates as obtained with the ZZT method. However, as complex cepstrum uses FFT operations instead of requiring the factoring of high-degree polynomials, the method benefits from a much higher speed. Finally in our tests on a large corpus of real expressive speech, we show that the proposed method has the potential to be used for voice quality analysis.
URI
https://doi.org/10.1016/j.specom.2011.02.004
http://hdl.handle.net/11147/5059
Collections
  • Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği [286]
  • Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection [3276]
  • WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection [2953]


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