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RATH, S. BURGET, L. KARAFIÁT, M. GLEMBEK, O. ČERNOCKÝ, J.
Original Title
A Region-specific Feature-space Transformation for Speaker Adaptation and Singularity Analysis of Jacobian Matrix
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
This paper describes the difficulties associated with soft R-FMLLR. By analyzing the Jacobian matrix, it was concluded that the transformation is most likely to be non-invertible and in this case ML estimation adversely affects the performance. A new transformation, hard R-FMLLR, is presented. It is shown that the performance of the proposed method is better than soft R-FMLLR and it is computationally more efficient.
Keywords
speaker recognition, speaker adaptation, feature-space transformation, speech recognition
Authors
RATH, S.; BURGET, L.; KARAFIÁT, M.; GLEMBEK, O.; ČERNOCKÝ, J.
RIV year
2013
Released
25. 8. 2013
Publisher
International Speech Communication Association
Location
Lyon
ISBN
978-1-62993-443-3
Book
Proceedings of Interspeeech 2013
2308-457X
Periodical
Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech 2013).
Number
8
State
French Republic
Pages from
1228
Pages to
1232
Pages count
5
URL
http://www.fit.vutbr.cz/research/groups/speech/publi/2013/rath_interspeech2013_IS130146.pdf
BibTex
@inproceedings{BUT103551, author="Shakti Prasad {Rath} and Lukáš {Burget} and Martin {Karafiát} and Ondřej {Glembek} and Jan {Černocký}", title="A Region-specific Feature-space Transformation for Speaker Adaptation and Singularity Analysis of Jacobian Matrix", booktitle="Proceedings of Interspeeech 2013", year="2013", journal="Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech 2013).", number="8", pages="1228--1232", publisher="International Speech Communication Association", address="Lyon", isbn="978-1-62993-443-3", issn="2308-457X", url="http://www.fit.vutbr.cz/research/groups/speech/publi/2013/rath_interspeech2013_IS130146.pdf" }