NDLI: Subspace Gaussian Mixture Models for speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Povey, D. Burget, L. Agarwal, M. Akyazi, P. Kai Feng Ghoshal, A. Glembek, O. Goel, N.K. Karafiát, M. Rastrow, A. Rose, R.C. Schwarz, P. Thomas, S.
Copyright Year	2010
Description	Author affiliation: IIIT Allahabad, India (Agarwal, M.) \|\| Bo¿aziçi University, Turkey (Akyazi, P.) \|\| Johns Hopkins University, MD, USA (Rastrow, A.; Thomas, S.) \|\| McGill University, Canada (Rose, R.C.) \|\| Brno University of Technology, Czech Republic (Burget, L.; Glembek, O.; Karafiát, M.; Schwarz, P.) \|\| Go-Vivace Inc., Virginia, USA (Goel, N.K.) \|\| Saarland University, Germany (Ghoshal, A.) \|\| Microsoft Research, Redmond, WA, USA (Povey, D.) \|\| HKUST, Hong Kong, China (Kai Feng)
Abstract	We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of the total parameter space. We call this a Subspace Gaussian Mixture Model (SGMM). Globally shared parameters define the subspace. This style of acoustic model allows for a much more compact representation and gives better results than a conventional modeling approach, particularly with smaller amounts of training data.
Starting Page	4330
Ending Page	4333
File Size	184657
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495662
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech recognition Hidden Markov models Training data Software tools Acoustic testing Software testing Equations Costs Natural languages Loudspeakers Gaussian Mixture Models Speech Recognition Hidden Markov Models
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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