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Robust Distributed Speech Recognition under noise environment using MESS and EH-VAD  

Choi, Gab-Keun (Computer Engineering Department, Kwangwoon University)
Kim, Soon-Hyob (Computer Engineering Department, Kwangwoon University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.48, no.1, 2011 , pp. 101-107 More about this Journal
Abstract
The background noises and distortions by channel are major factors that disturb the practical use of speech recognition. Usually, noise reduce the performance of speech recognition system DSR(Distributed Speech Recognition) based speech recognition also bas difficulty of improving performance for this reason. Therefore, to improve DSR-based speech recognition under noisy environment, this paper proposes a method which detects accurate speech region to extract accurate features. The proposed method distinguish speech and noise by using entropy and detection of spectral energy of speech. The speech detection by the spectral energy of speech shows good performance under relatively high SNR(SNR 15dB). But when the noise environment varies, the threshold between speech and noise also varies, and speech detection performance reduces under low SNR(SNR 0dB) environment. The proposed method uses the spectral entropy and harmonics of speech for better speech detection. Also, the performance of AFE is increased by precise speech detections. According to the result of experiment, the proposed method shows better recognition performance under noise environment.
Keywords
Noisy speech recognition; Distributed Speech Recognition; speech recognition system;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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