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Stochastic Modeling and Quantization of Harmonic Phases in Speech using Wrapped Gaussian Mixture Models

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2 Author(s)
Agiomyrgiannakis, Y. ; Dept. of Comput. Sci., Crete Univ., Greece ; Stylianou, Y.

Harmonic sinusoidal representations of speech have proven to be useful in many speech processing tasks. This work focuses on the phase spectra of the harmonics and provides a methodology to analyze and subsequently to model the statistics of the harmonic phases. To do so, we propose the use of a wrapped Gaussian mixture model (WGMM), a model suitable for random variables that belong to circular spaces, and provide an expectation-maximization algorithm for training. The WGMM is then used to construct a phase quantizer. The quantizer is employed in a prototype variable rate narrow-band VoIP sinusoidal codec that is equivalent to iLBC in terms of PESQ-MOS, at ~13 kbps.

Published in:

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on  (Volume:4 )

Date of Conference:

15-20 April 2007