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Bayesian feature enhancement using independent vector analysis and reverberation parameter re-estimation for noisy reverberant speech recognition

Title
Bayesian feature enhancement using independent vector analysis and reverberation parameter re-estimation for noisy reverberant speech recognition
Author
장준혁
Keywords
Robust speech recognition; Feature enhancement; Bayesian inference; Independent vector analysis; Reverberation; Hidden Markov model
Issue Date
2017-12
Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Citation
COMPUTER SPEECH AND LANGUAGE, v. 46, page. 496-516
Abstract
Because speech recorded by distant microphones in real-world environments is contaminated by both additive noise and reverberation, the automatic speech recognition (ASR) performance is seriously degraded due to the mismatch between the training and testing environments. In the previous studies, some of the authors proposed a Bayesian feature enhancement (BFE) method with re-estimation of reverberation filter parameters for reverberant speech recognition and a BFE method employing independent vector analysis (IVA) to deal with speech corrupted by additive noise. Although both of them accomplish significant improvements in either reverberation-or noise-robust ASR, most of the real-world environments involve both additive noise and reverberation. For robust ASR in the noisy reverberant environments, in this paper, we present a hidden-Markov-model (HMM)-based BFE method using IVA and reverberation parameter re-estimation (RPR) to remove additive and reverberant distortion components in speech acquired by multi-microphones effectively by introducing Bayesian inference in the observation model of input speech features. Experimental results show that the presented method can further reduce the word error rates (WERs) compared with the BFE methods based on conventional noise and/or reverberation models and combinations of the BFE methods for reverberation-or noise-robust ASR.
URI
https://www.sciencedirect.com/science/article/pii/S0885230816300742?via%3Dihubhttps://repository.hanyang.ac.kr/handle/20.500.11754/116634
ISSN
0885-2308; 1095-8363
DOI
10.1016/j.csl.2017.01.010
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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