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2008-07-26 - Colloque/Article dans les actes avec comité de lecture - Anglais - 6 page(s)

Drugman Thomas , Dubuisson Thomas , Moinet Alexis , D'alessandro Nicolas, Dutoit Thierry , "Glottal Source Estimation Robustness" in Conference on Signal Processing and Multimedia Applications, pp. 202-207, Porto, Portugal, 2008

  • Codes CREF : Technologies de l'information et de la communication (TIC) (DI4730), Electricité courants faibles (DI2500)
  • Unités de recherche UMONS : Théorie des circuits et traitement du signal (F105)
  • Instituts UMONS : Institut de Recherche en Technologies de l’Information et Sciences de l’Informatique (InforTech)
Texte intégral :

Abstract(s) :

(Anglais) This paper addresses the problem of estimating the voice source directly from speech waveforms. A novel principle based on Anticausality Dominated Regions (ACDR) is used to estimate the glottal open phase. This technique is compared to two other state-of-the-art well-known methods, namely the Zeros of the Z-Transform (ZZT) and the Iterative Adaptive Inverse Filtering (IAIF) algorithms. Decomposition quality is assessed on synthetic signals through two objective measures: the spectral distortion and a glottal formant determination rate. Technique robustness is tested by analyzing the influence of noise and Glottal Closure Instant (GCI) location errors. Besides impacts of the fundamental frequency and the first formant on the performance are evaluated. Our proposed approach shows significant improvement in robustness, which could be of a great interest when decomposing real speech.