NDLI: Estimation using log-spectral-distance criterion for noise-robust speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Erell, A. Weintraub, M.
Copyright Year	1990
Description	Author affiliation: SRI Int., Menlo Park, CA, USA (Erell, A.; Weintraub, M.)
Abstract	A spectral-estimation algorithm designed to improve the noise robustness of speech-recognition systems is presented and evaluated. The algorithm is tailored for filter-bank-based systems, where the estimation seeks to minimize the distortion as measured by the recognizer's distance metric. This minimization is achieved by modeling the speech distribution as consisting of clusters; the energies at different frequency channels are assumed to be uncorrelated within each cluster. The algorithm was tested with a continuous-speech, speaker-independent hidden Markov model (HMM) recognition system using the NIST Resource Management Task speech database. When trained on a clean speech database and tested with additive white Gaussian noise, the recognition accuracy with the new algorithm is comparable to that under the ideal condition of training and testing at constant SNR. When trained on clean speech and tested with a desktop microphone in a noisy environment, the error rate is only slightly higher than that with a close-talking microphone.<>
Starting Page	853
Ending Page	856
File Size	320451
Page Count	4
File Format	PDF
ISSN	15206149
DOI	10.1109/ICASSP.1990.115972
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1990-04-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise robustness Clustering algorithms Hidden Markov models Testing Speech recognition Databases Microphones Algorithm design and analysis Distortion measurement Frequency
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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