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MEKYSKA, J. FAÚNDEZ ZANUY, M. FABREGAS, J. SMÉKAL, Z.
Original Title
Fast and Efficient Approaches in Text-dependent Speaker Recognition Systems
Type
journal article - other
Language
English
Original Abstract
Although text-dependent speaker recognition systems are not so intensively developed as text-independent ones, there are still many applications, where the text dependency is necessary. This is for example a case of biometric systems. With the increasing computational burden and decreasing price of memories it is possible to implement new and sophisticated algorithms that rapidly increase the accuracy of these systems. But there are still some applications, where fast, simple and efficient approaches are necessary. This work introduces new methods of the text-dependent speaker recognition based on voice imprint and classifiers suitable for the processing of this feature vector. It is shown, that using combination of voice imprint and classifier based on fractional distances, it is possible to reach the successful detection rate equal to 96.94 % and 82.29 % in case of microphone mismatch. Speaking about equal error rate, system reached 4.08 % and 10.94 % considering microphone mismatch. It is also shown that voice imprint can approximately 30 times decrease the memory requirements.
Keywords
text-dependent speaker recognition, multi-section vector quantization
Authors
MEKYSKA, J.; FAÚNDEZ ZANUY, M.; FABREGAS, J.; SMÉKAL, Z.
RIV year
2011
Released
1. 4. 2011
ISBN
1213-1539
Periodical
Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)
Year of study
2
Number
1
State
Czech Republic
Pages from
Pages to
6
Pages count
BibTex
@article{BUT74440, author="Jiří {Mekyska} and Marcos {Faúndez Zanuy} and Joan {Fabregas} and Zdeněk {Smékal}", title="Fast and Efficient Approaches in Text-dependent Speaker Recognition Systems", journal="Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)", year="2011", volume="2", number="1", pages="1--6", issn="1213-1539" }