Application of the Bispectrum to Glottal Pulse Analysis

Research output: Contribution to conferencePaperpeer-review

Abstract

Higher order spectral (HOS) techniques, such as the bispectrum, offer robustness to Gaussian noise and the ability to recover phase information. However, their drawbacks, such as the high variance of estimates and the need for long data records, have limited their use in conventional speech processing applications. As in glottal pulse estimation, all existing inverse filtering approaches use second-order statistics, it is of interest to explore the potential of HOS in this area. Using the theory of HOS factorization and the linear bispectrum, it is shown how voiced speech can be modelled as a nonGaussian coloured noise driven system. The linear bispectrum approach can be used to obtain alternative glottal pulse and vocal tract estimates in hybrid Iterative Adaptive Inverse Filtering (hIAIF) and the results are compared with traditional IAIF. Finally, a new technique which involves joint estimation of the glottal pulse and vocal tract followed by inverse filtering is presented. This new technique shows good preliminary results and is much simpler than previous techniques.

Original languageEnglish
Publication statusPublished - 2003
Event2003 ISCA Tutorial and Research Workshop on Nonlinear Speech Processing, NOLISP 2003 - Le Croisic, France
Duration: 20 May 200323 May 2003

Conference

Conference2003 ISCA Tutorial and Research Workshop on Nonlinear Speech Processing, NOLISP 2003
Country/TerritoryFrance
CityLe Croisic
Period20/05/0323/05/03

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