Show simple item record

dc.contributor.authorMagrin-Chagnolleau, Ivan
Durou, Geoffrey
dc.creatorMagrin-Chagnolleau, Ivan
Durou, Geoffrey 2007-10-31T00:52:23Z 2007-10-31T00:52:23Z 1999-01-01 1999-01-01
dc.description Conference Paper
dc.description.abstract 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 Delta-coefficients.
dc.language.iso eng
dc.title Time Frequency Principal Components: Application to Speaker Identification
dc.type Conference paper 2004-01-14
dc.citation.bibtexName inproceedings 2004-11-05
dc.contributor.orgDigital Signal Processing (
dc.citation.conferenceName Proceedings of EUROSPEECH
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.citation I. Magrin-Chagnolleau and G. Durou, "Time Frequency Principal Components: Application to Speaker Identification," 1999.

Files in this item


This item appears in the following Collection(s)

  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1321]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

Show simple item record