Environmental Model Adaptation Based on Histogram Equalization

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In this letter, a new environmental model adaptation method is proposed for robust speech recognition under noisy environments. The proposed method adapts initial acoustic models of a speech recognizer into environmentally matched models by utilizing the histogram equalization technique. Experiments performed on the Aurora noisy environment showed that the proposed technique provides substantial improvement over the baseline speech recognizer trained on the clean speech data.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2009-04
Language
English
Article Type
Article
Citation

IEEE SIGNAL PROCESSING LETTERS, v.16, no.4, pp.264 - 267

ISSN
1070-9908
URI
http://hdl.handle.net/10203/22598
Appears in Collection
EE-Journal Papers(저널논문)
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