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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
English Title
Type
Paper in proceedings outside WoS and Scopus
Original Abstract
This paper describes the difficulties associated with soft R-FMLLR. By analyzing the Jacobian matrix, it was concludedthat the transformation is most likely to be non-invertibleand in this case ML estimation adversely affects the performance.A new transformation, hard R-FMLLR, is presented. Itis shown that the performance of the proposed method is betterthan soft R-FMLLR and it is computationally more efficient.
English abstract
Keywords
speaker recognition, speaker adaptation, feature-space transformation, speech recognition
Key words in English
Authors
RIV year
2014
Released
25.08.2013
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" }