Detail publikace

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

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

Originální název

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

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

14. 4. 2017

ISSN

2329-9290

Periodikum

IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING

Ročník

25

Číslo

7

Stát

Spojené státy americké

Strany od

1421

Strany do

1435

Strany počet

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"
}

Dokumenty

zeinali_ieee_acm transactions2017_07902120.pdf