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Zbyněk Zajíc and Lukáš Machlica and Luděk Müller : Initialization of fMLLR with Sufficient Statistics from Similar Speakers . Lecture Notes in Computer Science, vol. 6836/2011, p. 187-194, Springer-Verlag Berlin Heidelberg, 2011.

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Abstract

One of the most utilized adaptation techniques is the feature Maximum Likelihood Linear Regression (fMLLR). In comparison with other adaptation methods the number of free parameters to be estimated significantly decreases. Thus, the method is well suited for situations with small amount of adaptation data. However, fMLLR still fails in situations with extremely small data sets. Such situations can be solved through proper initialization of fMLLR estimation adding some a-priori information. In this paper a novel approach is proposed solving the problem of fMLLR initialization involving statistics from speakers acoustically close to the speaker to be adapted. Proposed initialization suitably substitutes missing adaptation data with similar data from a training database, fMLLR estimation becomes well-conditioned, and the accuracy of the recognition system increases even in situations with extremely small data sets.

Detail of publication

Title: Initialization of fMLLR with Sufficient Statistics from Similar Speakers
Author: Zbyněk Zajíc ; Lukáš Machlica ; Luděk Müller
Language: English
Date of publication: 1 Sep 2011
Year: 2011
Type of publication: Papers in journals
Title of journal or book: Lecture Notes in Computer Science
Číslo vydání: 6836/2011
Page: 187 - 194
ISBN: 978-3-642-23537-5
ISSN: 0302-9743
Publisher: Springer-Verlag Berlin Heidelberg
/ 2011-10-10 10:34:49 /

Keywords

fMLLR, adaptace, statistiky, rozpoznávání řeči, robustnost, initializace

BibTeX

@ARTICLE{ZbynekZajic_2011_Initializationof,
 author = {Zbyn\v{e}k Zaj\'{i}c and Luk\'{a}\v{s} Machlica and Lud\v{e}k M\"{u}ller},
 title = {Initialization of fMLLR with Sufficient Statistics from Similar Speakers},
 year = {2011},
 publisher = {Springer-Verlag Berlin Heidelberg},
 journal = {Lecture Notes in Computer Science},
 volume = {6836/2011},
 pages = {187-194},
 ISBN = {978-3-642-23537-5},
 ISSN = {0302-9743},
 url = {http://www.kky.zcu.cz/en/publications/ZbynekZajic_2011_Initializationof},
}