Sixth European Conference on Speech Communication and Technology

Budapest, Hungary
September 5-9, 1999

Time-Frequency Principal Components of Speech: Application to Speaker Identification

Ivan Magrin-Chagnolleau (1), Geoffrey Durou (2)

(1) Rice University, Houston, Texas, USA
(2) Faculté Polytechnique de Mons, Mons, Belgium

In this paper, we propose a formalism, called vector filtering of spectral trajectories, which allows to integrate under a common formalism a lot of speech parameterization approaches. We then propose a new filtering in this framework, called time-frequency principal components (TFPC) of speech. We apply this new filtering in the framework of speaker identification, using a subset of the POLYCOST database. The results show an improvement of roughly 20 % compared to the use of the classical cepstral coefficients augmented by their coefficients.

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Bibliographic reference.  Magrin-Chagnolleau, Ivan / Durou, Geoffrey (1999): "Time-frequency principal components of speech: application to speaker identification", In EUROSPEECH'99, 759-762.