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Evaluation of Combinational Use of Discriminant Analysis-Based Acoustic Feature Transformation and Discriminative Training

Makoto SAKAI, Norihide KITAOKA, Yuya HATTORI, Seiichi NAKAGAWA, Kazuya TAKEDA

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Summary :

To improve speech recognition performance, acoustic feature transformation based on discriminant analysis has been widely used. For the same purpose, discriminative training of HMMs has also been used. In this letter we investigate the effectiveness of these two techniques and their combination. We also investigate the robustness of matched and mismatched noise conditions between training and evaluation environments.

Publication
IEICE TRANSACTIONS on Information Vol.E93-D No.2 pp.395-398
Publication Date
2010/02/01
Publicized
Online ISSN
1745-1361
DOI
10.1587/transinf.E93.D.395
Type of Manuscript
LETTER
Category
Speech and Hearing

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