NDLI: Robust speech recognition based on multi-band spectral subtraction

Content Provider	IEEE Xplore Digital Library
Author	Yi-Long Wan Tian-Qi Zhang Zhi-Chao Wang Jing Jin
Copyright Year	2013
Description	Author affiliation: Chongqing Key Lab. of Signal & Inf. Process. (CQKLS&IP), Chongqing Univ. of Posts & Telecommun. (CQUPT), Chongqing, China (Yi-Long Wan; Tian-Qi Zhang; Zhi-Chao Wang; Jing Jin)
Abstract	In order to reduce the degradation of the speech recognition accuracy while the testing condition are mismatched with the training condition around noisy environment, a kind of multi-band spectral subtraction has been proposed. The estimated noise signals were extracted from the first few frames of the noisy speech. The noisy speech and estimation of noise signals by the frequency were divided into non-overlapping M frequency bands. According to the SNR (signal-to-noise ratio) of noise speech in each frequency band, the band noise spectral subtraction parameters can be determined. The front-end speech enhancement module and the speech recognizer constitute a robust speech recognition system. The results of simulation experiments indicate that the recognition accuracy of multi-band spectral subtraction robust speech recognition system is obviously superior to the basic spectral subtraction in different signal-to-noise ratios and different noise's types.
Sponsorship	IEEE Eng.Med. Biol. Soc.
Starting Page	36
Ending Page	40
File Size	289070
Page Count	5
File Format	PDF
e-ISBN	9781479927647
DOI	10.1109/CISP.2013.6744019
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise Speech recognition Speech enhancement Speech Feature extraction Spectral subtraction Hidden Markov Model Noise measurement Mel frequency cepstral coefficient Multi-band
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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