Model Adaptation Using Discriminative Noise Adaptive Training Approach for New Environments

A conventional environment adaptation for robust speech recognition is usually conducted using transform‐based techniques. Here, we present a discriminative adaptation strategy based on a multi‐condition‐trained model, and propose a new method to provide universal application to a new environment us...

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Bibliographic Details
Published in:ETRI journal 2008, 30(6), , pp.865-867
Main Authors: Jung, Ho‐Young, Kang, Byung‐Ok, Lee, Yunkeun
Format: Article
Language:English
Subjects:
Discriminative adaptation
minimum phone classification error
speech recognition
전자/정보통신공학
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Summary:A conventional environment adaptation for robust speech recognition is usually conducted using transform‐based techniques. Here, we present a discriminative adaptation strategy based on a multi‐condition‐trained model, and propose a new method to provide universal application to a new environment using the environment's specific conditions. Experimental results show that a speech recognition system adapted using the proposed method works successfully for other conditions as well as for those of the new environment.
ISSN:1225-6463
2233-7326
DOI:10.4218/etrij.08.0208.0256