A reference model weighting-based method for robust speech recognition

Abstract

In this paper a reference model weighting (RMW) method is proposed for fast hidden Markov model (HMM) adaptation which aims to use only one input test utterance to online estimate the characteristic of the unknown test noisy environment. The idea of RMW is to first collect a set of reference HMMs in the training phase to represent the space of noisy… (More)

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@inproceedings{Liao2007ARM, title={A reference model weighting-based method for robust speech recognition}, author={Yuan-Fu Liao and Yh-Her Yang and Chi-Hui Hsu and Cheng-Chang Lee and Jing-Teng Zeng}, booktitle={INTERSPEECH}, year={2007} }