Speaker identification in mismatch training and testing conditions

Authors:
C. Alonso-Martinez;M. Faundez-Zanuy
Affiliations:
Univ. Politecnica de Catalunya, Barcelona, Spain;-
Venue:
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Year:
2000

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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.