NDLI: Histogram-based subband powerwarping and spectral averaging for robust speech recognition under matched and multistyle training

Content Provider	IEEE Xplore Digital Library
Author	Harvilla, M.J. Stern, R.M.
Copyright Year	2012
Description	Author affiliation: Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213 USA (Harvilla, M.J.; Stern, R.M.)
Abstract	This paper describes a new algorithm that increases the robustness of speech recognition systems by matching the power histograms of the input in each frequency band to those obtained over clean training data, and then mixing together the processed and unprocessed spectra. Before calculating prototype histograms over the training data, the power signals in each channel are normalized by the local maximum and minimum of the channel. In contrast, histograms calculated over the testing data are normalized by the global maximum and minimum of the power spectrum. This mode of normalization leads to a significant reduction in noise. Following the histogram-based processing, it is shown that taking a weighted average between the processed and unprocessed power spectra contributes to further gains in recognition accuracy. Results are obtained for multiple speech recognition systems, noise types, and training conditions illustrating the broad utility of this approach.
Starting Page	4697
Ending Page	4700
File Size	188173
Page Count	4
File Format	PDF
ISBN	9781467300452
ISSN	15206149
e-ISBN	9781467300469
e-ISBN	9781467300445
DOI	10.1109/ICASSP.2012.6288967
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Histograms Speech recognition Speech Signal to noise ratio Robustness multistyle training Robust speech recognition histogram matching spectral averaging matched training
Content Type	Text
Resource Type	Article

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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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