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International Journal of Speech Technology

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01-06-2012

Speaker verification using excitation source information

Authors: Debadatta Pati, S. R. Mahadeva Prasanna

Published in: International Journal of Speech Technology | Issue 2/2012

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Abstract

In this work we develop a speaker recognition system based on the excitation source information and demonstrate its significance by comparing with the vocal tract information based system. The speaker-specific excitation information is extracted by the subsegmental, segmental and suprasegmental processing of the LP residual. The speaker-specific information from each level is modeled independently using Gaussian mixture modeling—universal background model (GMM-UBM) modeling and then combined at the score level. The significance of the proposed speaker recognition system is demonstrated by conducting speaker verification experiments on the NIST-03 database. Two different tests, namely, Clean test and Noisy test are conducted. In case of Clean test, the test speech signal is used as it is for verification. In case of Noisy test, the test speech is corrupted by factory noise (9 dB) and then used for verification. Even though for Clean test case, the proposed source based speaker recognition system still provides relatively poor performance than the vocal tract information, its performance is better for Noisy test case. Finally, for both clean and noisy cases, by providing different and robust speaker-specific evidences, the proposed system helps the vocal tract system to further improve the overall performance.

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Title: Speaker verification using excitation source information
Authors: Debadatta Pati
S. R. Mahadeva Prasanna
Publication date: 01-06-2012
Publisher: Springer US
Published in: International Journal of Speech Technology / Issue 2/2012
Print ISSN: 1381-2416
Electronic ISSN: 1572-8110
DOI: https://doi.org/10.1007/s10772-012-9137-5

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