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ZEINALI, H.; SAMETI, H.; BURGET, L.
Original Title
HMM-Based Phrase-Independent i-Vector Extractor for Text-Dependent Speaker Verification
English Title
Type
WoS Article
Original Abstract
This article is describes a new HMM structure for text-dependentspeaker verification, which enabled the authors to use the potentialof the HMM to model time sequences along with the establishedi-vector technique.
English abstract
Keywords
Bottleneck features, DNN, hidden Markov model(HMM), i-vector, text-dependent speaker verification.
Key words in English
Authors
RIV year
2018
Released
14.04.2017
ISBN
2329-9290
Periodical
IEEE-ACM Transactions on Audio Speech and Language Processing
Volume
25
Number
7
State
United States of America
Pages from
1421
Pages to
1435
Pages count
15
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7902120
BibTex
@article{BUT144447, author="Hossein {Zeinali} and Hossein {Sameti} and Lukáš {Burget}", title="HMM-Based Phrase-Independent i-Vector Extractor for Text-Dependent Speaker Verification", journal="IEEE-ACM Transactions on Audio Speech and Language Processing", year="2017", volume="25", number="7", pages="1421--1435", doi="10.1109/TASLP.2017.2694708", issn="2329-9290", url="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7902120" }
Documents
HMM_popisHMMzeinali_ieee_acm transactions2017_07902120