Speaker Identification Ivan Magrin-Chagnolleau and Geoffrey Durou Rice...  Home/Search
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Abstract: In this paper, we propose a formalism, called vector ltering of spectral trajectories, which allows to integrate under a common formalism a lot of speech parameterization approaches. We then propose a new ltering in this framework, called time-frequency principal components (TFPC) of speech. We apply this new ltering in the framework of speaker identi- cation, using a subset of the POLYCOST database. The results show an improvement of roughly 20 % compared to the use of the classical... (Update)
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BibTeX entry: (Update)
@misc{ ivan-timefrequency,
author = "Speaker Identification Ivan",
title = "Time-Frequency Principal Components Of Speech: Application To",
url = "citeseer.ist.psu.edu/766967.html" }
Citations (may not include all citations):329 Principal Component Analysis (context) - Jolliffe - 1986
205 Mixture Models: Inference and Applications to Clustering (context) - McLachlan, Basford - 1988
17 Comparison of speaker recognition methods using static featu.. (context) - Furui - 1981
11 Utilisation de la prediction lineaire en reconnaissance et a.. (context) - Grenier - 1980
9 Inclusion of temporal information into features for speech r.. - Milner - 1996
9 IEEE Transactions on Audio and Electroacoustics (context) - Oppenheim, Schafer et al. - 1968
9 Robust text-independent speaker identication using gaussian.. (context) - Reynolds, Rose - 1995
2 ltrage vectoriel de trajectoires spectrales pour l'identica.. (context) - Magrin-Chagnolleau, et - 1997
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