NDLI: Robust speech recognition using neural networks and hidden Markov models

Content Provider	IEEE Xplore Digital Library
Author	Lin Cong Asghar, S. Bin Cong
Copyright Year	2000
Description	Author affiliation: Adv. Micro Devices, Santa Clara, CA, USA (Lin Cong)
Abstract	This paper proposes a robust, speaker-independent isolated word speech recognition (IWSR) system (SMQ/HMM-SVQ/HMM)/MLP which combines dual split matrix quantization (SMQ) and split vector quantization (SVQ) pair combined with both the strength of the HMM in modeling stochastic sequences and the non-linear classification capability of MLP neural networks (NN). The system efficiently utilizes processing resources and improves speech recognition performance by using neural networks as the classifier of the system. Computer simulation clearly indicates the superiority over conventional VQ/HMM and MQ/HMM systems with 98% and 95.8% recognition accuracy at 20 dB and 5 dB SNR levels, respectively in a car noise environment, based on the TIDIGIT database.
Starting Page	350
Ending Page	354
File Size	41176
Page Count	5
File Format	PDF
ISBN	0769505406
DOI	10.1109/ITCC.2000.844204
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-03-29
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Speech recognition Neural networks Hidden Markov models Vector quantization Stochastic systems Computer simulation Signal to noise ratio Working environment noise Noise level
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
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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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