NDLI: Noise-robust automatic speech recognition using a discriminative echo state network

Content Provider	IEEE Xplore Digital Library
Author	Skowronski, M.D. Harris, J.G.
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL (Skowronski, M.D.; Harris, J.G.)
Abstract	The echo state network (ESN) is a recurrent neural network proposed by Herbert Jaeger with a simplified training routine. Previously, we have demonstrated the noise-robust performance of the predictive ESN classifier in automatic speech recognition experiments in which the network was trained to predict the next frame of speech features. Classification performance was limited because the predictive models lacked discriminability, so we changed the model output to a one-of-many output encoding scheme and trained the model discriminatively. Performance was compared to a hidden Markov model (HMM) in small-vocabulary ASR experiments with additive noise. Accuracy of 50% was achieved by a discriminative ESN classifier at -8.5 dB SNR, compared to 0.4 dB SNR for a predictive ESN classifier and 6.6 dB SNR for an HMM. With discriminative training, a larger reservoir was employed for the discriminative ESN classifier compared to the predictive ESN classifier which resulted a larger memory depth and more noise-robust performance.
Starting Page	1771
Ending Page	1774
File Size	188589
Page Count	4
File Format	PDF
ISBN	1424409209
DOI	10.1109/ISCAS.2007.378015
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise robustness Automatic speech recognition Hidden Markov models Predictive models Reservoirs Signal to noise ratio Acoustic noise Additive noise Finite impulse response filter Testing
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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