NDLI: Filtering on the temporal probability sequence in histogram equalization for robust speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Syu-Siang Wang Yu Tsao Jeih-weih Hung
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng., Nat. Chi Nan Univ., Nantou, Taiwan (Jeih-weih Hung) \|\| Res. Center for Inf. Technol. Innovation, Taipei, Taiwan (Syu-Siang Wang; Yu Tsao)
Abstract	In this paper, we propose a filter-based histogram equalization (FHEQ) approach for robust speech recognition. The FHEQ approach first represents the original acoustic feature sequence with statistic probability. Then, a temporal average (TA) filter is applied to smooth the statistic probability sequence. Finally, the filtered statistic probability sequence is transformed to form a new acoustic feature stream. Filtering on statistic probability of a feature sequence is a novel concept that can incorporate the advantages of the conventional histogram equalization (HEQ) and temporal filtering techniques for better noise robustness. Our experimental results on the Aurora-2 and Aurora-4 tasks show that FHEQ outperforms the conventional cepstral mean subtraction (CMS), cepstral mean and variance normalization (CMVN), and HEQ. Furthermore, we conducted a comparison test on TA-HEQ and HEQ-TA, which apply a TA filter to smooth acoustic features before and after the HEQ processing, respectively. The test results show that FHEQ outperforms both TA-HEQ and HEQ-TA, suggesting that filtering in probability is more effective than filtering in acoustic feature.
Starting Page	7112
Ending Page	7116
File Size	152918
Page Count	5
File Format	PDF
ISBN	9781479903566
ISSN	15206149
DOI	10.1109/ICASSP.2013.6639042
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Speech recognition Acoustics Robustness Noise Training Histograms noise robust speech recognition HEQ FHEQ feature normalization temporal filter
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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