NDLI: Speaker clustering using vector representation with long-term feature for lecture speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Chien-Lin Huang Hori, C. Kashioka, H. Bin Ma
Copyright Year	2013
Description	Author affiliation: Nat. Inst. of Inf. & Commun. Technol., Kyoto, Japan (Chien-Lin Huang; Hori, C.; Kashioka, H.) \|\| Human Language Technol. Dept., A*STAR, Singapore, Singapore (Bin Ma)
Abstract	Speaker clustering has been widely adopted for clustering the speech data based on acoustic characteristics so that an unsupervised speaker normalization and speaker adaptive training can be applied for a better speech recognition performance. In this study, we present a vector space speaker clustering approach with long-term feature analysis. The supervector based on the GMM mean vectors is adopted to represent the characteristics of speakers. To achieve a robust representation, total variability subspace modeling, which has been successfully applied in speaker recognition for compensating channel and session variability over the GMM mean supervector, is used for speaker clustering. We apply a long-term feature analysis strategy to average short-time spectral features over a period of time to capture the speaker traits that are manifested over a speech segment longer than a spectral frame. Experiments conducted on lecture style speech show that this speaker clustering approach offers a better speech recognition performance.
Starting Page	3532
Ending Page	3536
File Size	303695
Page Count	5
File Format	PDF
ISBN	9781479903566
ISSN	15206149
DOI	10.1109/ICASSP.2013.6638315
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Speech Speech recognition Training Hidden Markov models Mel frequency cepstral coefficient total variability Speaker clustering speech recognition long-term feature
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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