Publication 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

Type

journal article in Web of Science

Language

English

Original Abstract

This article is describes a new HMM structure for text-dependent speaker verification, which enabled the authors to use the potential of the HMM to model time sequences along with the established i-vector technique.

Keywords

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

Authors

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

Released

14. 4. 2017

ISBN

2329-9290

Periodical

IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING

Year of study

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

zeinali_ieee_acm transactions2017_07902120.pdf