DocumentCode :
2282935
Title :
Speaker identification in mismatch training and testing conditions
Author :
Alonso-Martínez, Carlos ; Faundez-Zanuy, Marcos
Author_Institution :
Univ. Politecnica de Catalunya, Barcelona, Spain
Volume :
2
fYear :
2000
fDate :
2000
Abstract :
This paper presents an exhaustive study about the robustness of several parameterizations, with a new database specially acquired for the purpose of this study. This database includes the following variations: different recording sessions (including telephonic and microphonic recordings), recording rooms, and languages (it has been obtained from a bilingual set of speakers). This study has been performed with two identification algorithms (vector quantization and covariance matrices) and reveals that the combination of several parameterizations can improve the robustness in all the scenarios
Keywords :
cepstral analysis; covariance matrices; speaker recognition; vector quantisation; bilingual speakers; covariance matrices; identification algorithms; languages; microphonic recording; mismatch training; parameterizations; recording rooms; recording sessions; robustness; speaker identification; telephonic recording; testing conditions; vector quantization; CD recording; Databases; ISDN; Microphones; Natural languages; Robustness; Speaker recognition; Speech; Testing; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1520-6149
Print_ISBN :
0-7803-6293-4
Type :
conf
DOI :
10.1109/ICASSP.2000.859176
Filename :
859176
Link To Document :
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