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ZEINALI, H. SAMETI, H. BURGET, L. ČERNOCKÝ, J. MAGHSOODI, N. MATĚJKA, P.
Originální název
i-vector/HMM Based Text-dependent Speaker Verification System for RedDots Challenge
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Recently, a new data collection was initiated within the RedDots project in order to evaluate text-dependent and text-prompted speaker recognition technology on data from a wider speaker population and with more realistic noise, channel and phonetic variability. This paper analyses our systems built for RedDots challenge - the effort to collect and compare the initial results on this new evaluation data set obtained at different sites. We use our recently introduced HMM based i-vector approach, where, instead of the traditional GMM, a set of phone specific HMMs is used to collect the sufficient statistics for i-vector extraction. Our systems are trained in a completely phraseindependent way on the data from RSR2015 and Libri speech databases. We compare systems making use of standard cepstral features and their combination with neural network based bottle-neck features. The best results are obtained with a scorelevel fusion of such systems.
Klíčová slova
text-dependent speaker verification, i-vector, HMM, RedDots challenge
Autoři
ZEINALI, H.; SAMETI, H.; BURGET, L.; ČERNOCKÝ, J.; MAGHSOODI, N.; MATĚJKA, P.
Vydáno
8. 9. 2016
Nakladatel
International Speech Communication Association
Místo
San Francisco
ISBN
978-1-5108-3313-5
Kniha
Proceedings of Interspeech 2016
Strany od
440
Strany do
444
Strany počet
5
URL
https://www.researchgate.net/publication/303895014_i-VectorHMM_Based_Text-Dependent_Speaker_Verification_System_for_RedDots_Challenge
BibTex
@inproceedings{BUT131018, author="Hossein {Zeinali} and Hossein {Sameti} and Lukáš {Burget} and Jan {Černocký} and Nooshin {Maghsoodi} and Pavel {Matějka}", title="i-vector/HMM Based Text-dependent Speaker Verification System for RedDots Challenge", booktitle="Proceedings of Interspeech 2016", year="2016", pages="440--444", publisher="International Speech Communication Association", address="San Francisco", doi="10.21437/Interspeech.2016-1174", isbn="978-1-5108-3313-5", url="https://www.researchgate.net/publication/303895014_i-VectorHMM_Based_Text-Dependent_Speaker_Verification_System_for_RedDots_Challenge" }