Publication Details

Text-dependent speaker verification based on i-vectors, Neural Networks and Hidden Markov Models

ZEINALI, H.; SAMETI, H.; BURGET, L.; ČERNOCKÝ, J. Text-dependent speaker verification based on i-vectors, Neural Networks and Hidden Markov Models. COMPUTER SPEECH AND LANGUAGE, 2017, vol. 2017, no. 46, p. 53-71. ISSN: 0885-2308.

Czech title

Ověřování mluvčího závislé na textu založené na i-vektorech, neuronových sítích a skrytých Markovových modelech

Type

journal article

Language

English

Authors

Zeinali Hossein, Ph.D. (DCGM)
Sameti Hossein (FIT)
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
Černocký Jan, prof. Dr. Ing. (DCGM)

URL

Keywords

Deep Neural Network; Text-dependent; Speaker verification; i-Vector; Frame alignment; Bottleneck features

Abstract

Inspired by the success of Deep Neural Networks (DNN) in text-independent speaker recognition, we have recently demonstrated that similar ideas can also be applied to the text-dependent speaker verification task. In this paper, we describe new advances with our state-of-the-art i-vector based approach to text-dependent speaker verification, which also makes use of different DNN techniques. In order to collect sufficient statistics for i-vector extraction, different frame alignment models are compared such as GMMs, phonemic HMMs or DNNs trained for senone classification. We also experiment with DNN based bottleneck features and their combinations with standard MFCC features. We experiment with few different DNN configurations and investigate the importance of training DNNs on 16 kHz speech. The results are reported on RSR2015 dataset, where training material is available for all possible enrollment and test phrases. Additionally, we report results also on more challenging RedDots dataset, where the system is built in truly phrase-independent way.

Published

2017

Pages

53–71

Journal

COMPUTER SPEECH AND LANGUAGE, vol. 2017, no. 46, ISSN 0885-2308

DOI

10.1016/j.csl.2017.04.005

UT WoS

000407609600003

EID Scopus

2-s2.0-85019904410

BibTeX

@article{BUT144474,
  author="Hossein {Zeinali} and Hossein {Sameti} and Lukáš {Burget} and Jan {Černocký}",
  title="Text-dependent speaker verification based on i-vectors, Neural Networks and Hidden Markov Models",
  journal="COMPUTER SPEECH AND LANGUAGE",
  year="2017",
  volume="2017",
  number="46",
  pages="53--71",
  doi="10.1016/j.csl.2017.04.005",
  issn="0885-2308",
  url="http://www.sciencedirect.com/science/article/pii/S0885230816303199"
}