NDLI: HMM speech recognition with reduced training

Content Provider	IEEE Xplore Digital Library
Author	Say Wei Foo Yap, T.
Copyright Year	1997
Description	Author affiliation: Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore (Say Wei Foo)
Abstract	One of the problems faced in automatic speech recognition is the amount of training required to adapt the machine to the speaker way of pronunciation. To a certain extent, the accuracy of correct recognition is proportional to the amount of training and adaptation carried out. This is especially true when a large vocabulary is involved. For certain applications, it is desirable that the training requirement be reduced to the bare minimum without sacrificing the accuracy of recognition. The minimum number of training required to achieve an acceptable degree of accuracy for a speaker dependent speech recognition system based on the hidden Markov model (HMM) is investigated. A method is also proposed which retains the same degree of accuracy of recognition with much reduced training.
Starting Page	1016
Ending Page	1019
File Size	312514
Page Count	4
File Format	PDF
ISBN	0780336763
DOI	10.1109/ICICS.1997.652134
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-09-12
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Speech recognition Vocabulary Testing Automatic speech recognition Application software Computer applications Telephony Error analysis Terminology
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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