Complex cepstrum analysis based on the minimum mean squared error

Ranniery Maia, Masami Akamine, M. J F Gales

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper introduces a novel approach for complex cepstrum analysis. Given initial estimates of complex cepstra and respective instants of glottal closure, the method iteratively optimizes the complex cepstrum and instants of glottal closure so that the mean squared error between natural and reconstructed speech waveforms is minimized. The proposed approach results in a more accurate speech representation based on the complex cepstrum, with no need of windowing or phase unwrapping. Experimental results show that the proposed method produces reconstructed speech with higher segmental signal-to-noise ratio scores when compared with conventional methods of complex cepstrum analysis. Because this approach can derive the complex cepstrum at fixed periods, it can be applied to statistical modeling in parametric speech synthesizers.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages7972-7976
Number of pages5
DOIs
Publication statusPublished - 2013 Oct 18
Externally publishedYes
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: 2013 May 262013 May 31

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/TerritoryCanada
CityVancouver, BC
Period13/5/2613/5/31

Keywords

  • cepstral analysis
  • Complex cepstrum
  • speech analysis
  • speech synthesis

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

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