Publication result detail

HMM-Based Phrase-Independent i-Vector Extractor for Text-Dependent Speaker Verification

ZEINALI, H.; SAMETI, H.; BURGET, L.

Original Title

HMM-Based Phrase-Independent i-Vector Extractor for Text-Dependent Speaker Verification

English Title

HMM-Based Phrase-Independent i-Vector Extractor for Text-Dependent Speaker Verification

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

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.

Keywords

Bottleneck features, DNN, hidden Markov model(HMM), i-vector, text-dependent speaker verification.

Key words in English

Bottleneck features, DNN, hidden Markov model(HMM), i-vector, text-dependent speaker verification.

Authors

ZEINALI, H.; SAMETI, H.; BURGET, L.

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

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"
}

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