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Evaluation of speech recognizers for speech training applications

Content Provider	IEEE Xplore Digital Library
Author	Anderson, S. Kewley-Port, D.
Copyright Year	1993
Abstract	The use of speech recognition technology for speech training represents an important and potentially very large application of speech technology. However, speech training places unique demands on recognizer performance that have not been well-characterized. In this research, a database and testing procedures were developed to evaluate two facets of recognizer performance integral to speech training: utterance identification and speech quality assessment. Using these materials, three commercial speech recognizers that employ different types of recognition algorithms were evaluated. In general, the recognizer, based on hidden Markov models (HMM's), provided better identification scores for normal and disordered speech than the two template-based recognizers. A recognizer's identification performance on normal speech often predicted its identification performance on disordered speech. For each recognizer, analysis using phonological features revealed classes of speech sounds that are poorly discriminated. Procedures were developed to provide human ratings of the quality of disordered speech for comparison to recognizer performance. Recognizers were compared to speech-language pathologists with respect to the ability to judge speech quality. In contrast, with identification performance, the two speech recognizers based on template comparisons provided better measures of speech quality than the HMM-based recognizer.<>
Starting Page	229
Ending Page	241
Page Count	13
File Size	1490744
File Format	PDF
ISSN	10636676
Volume Number	3
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-07-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech analysis Speech recognition Hidden Markov models Natural languages Communications technology Databases Testing Face recognition Quality assessment Humans
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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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
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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