Model Adaptation Using Discriminative Noise Adaptive Training Approach for New Environments
Discriminative model
DOI:
10.4218/etrij.08.0208.0256
Publication Date:
2009-06-30T01:51:32Z
AUTHORS (3)
ABSTRACT
A conventional environment adaptation for robust speech recognition is usually conducted using transform-based techniques. Here, we present a discriminative strategy based on multi-condition-trained model, and propose new method to provide universal application the environment's specific conditions. Experimental results show that system adapted proposed works successfully other conditions as well those of environment.
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