NDLI: Knowledge-based parameters for HMM speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Bitar, N.N. Espy-Wilson, C.Y.
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. Comput. & Syst. Eng., Boston Univ., MA, USA (Bitar, N.N.)
Abstract	This paper presents acoustic parameters (APs) that were motivated by phonetic feature theory and employed as a signal representation of speech in a hidden Markov model (HMM) recognition framework. Presently, the phonetic features considered are the manner features: sonorant, syllabic, nonsyllabic, noncontinuant and fricated. The objective of the parameters is to directly target the linguistic information in the signal and to reduce the speaker-dependent information that may yield large speech variability. To achieve these goals, the APs were defined in a relational manner across time or frequency. For evaluation, broad-class recognition experiments were conducted comparing the APs to cepstral-based parameters. The results of the experiments indicate that the APs are able to capture the phonetically relevant information in the speech signal and that, in comparison to the cepstral-based parameters, they are more able to reduce the interspeaker variability.
Starting Page	29
Ending Page	32
File Size	434956
Page Count	4
File Format	PDF
ISBN	0780331923
ISSN	15206149
DOI	10.1109/ICASSP.1996.540282
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Speech recognition Signal representations Training data Acoustical engineering Systems engineering and theory Frequency Speech processing Natural languages Context modeling
Content Type	Text
Resource Type	Article

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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
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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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