Publication detail
Non-Negative Factor Analysis of Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition
BAHARI, M. DEHAK, N. VAN HAMME, H. BURGET, L. ALI, A. GLASS, J.
Original Title
Non-Negative Factor Analysis of Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition
Type
journal article in Web of Science
Language
English
Original Abstract
In this research, a non-negative factor analysis approach is developed for GMM weight decomposition and adaptation. This methods allows for a new low-dimensional utterance representation similar to i-vectors.
Keywords
Non-negative factor analysis; model adaptation; Gaussian mixture model weight; dialect recognition; language recognition
Authors
BAHARI, M.; DEHAK, N.; VAN HAMME, H.; BURGET, L.; ALI, A.; GLASS, J.
RIV year
2014
Released
1. 7. 2014
ISBN
2329-9290
Periodical
IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING
Year of study
2014
Number
7
State
United States of America
Pages from
1117
Pages to
1129
Pages count
13
URL
BibTex
@article{BUT111657,
author="Mohamad {Bahari} and Najim {Dehak} and Hugo {Van hamme} and Lukáš {Burget} and Ahmed {Ali} and Jim {Glass}",
title="Non-Negative Factor Analysis of Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition",
journal="IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING",
year="2014",
volume="2014",
number="7",
pages="1117--1129",
doi="10.1109/TASLP.2014.2319159",
issn="2329-9290",
url="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6803908"
}