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POVEY, D.; BURGET, L.; AGARWAL, M.; AKYAZI, P.; FENG, K.; GHOSHAL, A.; GLEMBEK, O.; GOEL, N.; KARAFIÁT, M.; RASTROW, A.; ROSE, R.; SCHWARZ, P.; THOMAS, S.
Original Title
Subspace Gaussian mixture models for speech recognition
English Title
Type
Paper in proceedings outside WoS and Scopus
Original Abstract
The paper is on subspace Gaussian mixture models for speech recognition. We describe an acoustic modeling approach in which all phonetic states share a common GMM structure.
English abstract
Keywords
Speech Recognition, Hidden Markov Models, Gaussian Mixture Models
Key words in English
Authors
RIV year
2011
Released
01.04.2010
Publisher
IEEE Signal Processing Society
Location
Dallas
ISBN
978-1-4244-4296-6
Book
Proc. International Conference on Acoustics, Speech, and Signal Processing
1520-6149
Periodical
Volume
2010
Number
3
State
United States of America
Pages from
4330
Pages to
4333
Pages count
4
URL
http://www.fit.vutbr.cz/research/groups/speech/publi/2010/povey_icassp2010_4330.pdf
BibTex
@inproceedings{BUT37026, author="Daniel {Povey} and Lukáš {Burget} and Mohit {Agarwal} and Pinar {Akyazi} and Kai {Feng} and Arnab {Ghoshal} and Ondřej {Glembek} and Nagendra {Goel} and Martin {Karafiát} and Ariya {Rastrow} and Richard {Rose} and Petr {Schwarz} and Samuel {Thomas}", title="Subspace Gaussian mixture models for speech recognition", booktitle="Proc. International Conference on Acoustics, Speech, and Signal Processing", year="2010", journal="Proc. International Conference on Acoustics, Speech, and Signal Processing", volume="2010", number="3", pages="4330--4333", publisher="IEEE Signal Processing Society", address="Dallas", isbn="978-1-4244-4296-6", issn="1520-6149", url="http://www.fit.vutbr.cz/research/groups/speech/publi/2010/povey_icassp2010_4330.pdf" }