NDLI: A speaker adaptive Chinese syllable recognition system based on discriminative training

Content Provider	IEEE Xplore Digital Library
Author	Liang Zhou Imai, S.
Copyright Year	1996
Description	Author affiliation: Precision & Intelligence Lab., Tokyo Inst. of Technol., Yokohama, Japan (Liang Zhou)
Abstract	We present two speaker adaptation methods to implement a MSVQ-based adaptive Chinese syllable recognition system. The first proposed method is feature normalization in which we model the inter-speaker variability as a linear transformation. By applying the feature normalization, the target speaker speech is normalized to reduce the inter-speaker acoustic variability. In the second adaptation method, we first present an implementation of the MCE/GPD algorithm for discriminatively training MSVQ-based speech recognizer. It is expected that this method can separate the confusion classes and can enhance speaker adaptation capability. We carried out recognition experiments to assess the performance by using a standard Chinese syllable database CRDB in China, the results show that when both adaptation methods are combined, the error rate reduction on open data is over 62% with a single set of adaptation training data. When increasing the training data, the capability of speaker adaptation is improved using the MCE/GPD training only. After using 5 sets of training data, the average recognition rate for two new speakers was improved from 72.87% to 97.31% which is the best performance reported in this database.
Starting Page	31
Ending Page	36
File Size	585198
Page Count	6
File Format	PDF
ISBN	0780336798
DOI	10.1109/TENCON.1996.608695
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-11-29
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Loudspeakers Speech recognition Natural languages Vocabulary Laboratories Error analysis Spatial databases Vectors Cepstral analysis
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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