NDLI: Second order cone programming (SOCP) relaxations for large margin HMMs in speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Yan Yin Hui Jiang
Copyright Year	2009
Description	Author affiliation: Department of Computer Science and Engineering, York University, 4700 Keele Street, Toronto, Ontario M3J 1P3, CANADA (Yan Yin; Hui Jiang)
Abstract	In this paper, we present a new fast optimization method to solve large margin estimation (LME) of continuous density hidden Markov models (CDHMMs) for speech recognition based on second order cone programming (SOCP). SOCP is a class of nonlinear convex optimization problems which can be solved very efficiently. In this work, we have formulated the LME of CDHMMs as an SOCP problem and proposed two improved tighter SOCP relaxation methods for LME.The new LME/SOCP methods have been evaluated in a connected digit string speech recognition task using the standard TIDIGITS database. Experimental results demonstrate efficiency and effectiveness of the proposed LME/SOCP methods in speech recognition.
Starting Page	105
Ending Page	108
File Size	737000
Page Count	4
File Format	PDF
ISBN	9781424438273
DOI	10.1109/ISCAS.2009.5117696
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-24
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech recognition Hidden Markov models Optimization methods Relaxation methods Computer science Databases Machine learning Minimax techniques Constraint optimization Vocabulary
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

Large-Margin Estimation of Hidden Markov Models With Second-Order Cone Programming for Speech Recognition

A compact semidefinite programming (SDP) formulation for large margin estimation of HMMS in speech recognition

Solving Large-Margin Hidden Markov Model Estimation via Semidefinite Programming

Large margin hidden Markov models for speech recognition

Large margin HMMs for speech recognition

A constrained joint optimization method for large margin HMM estimation

Large margin hidden markov models for speech recognition (2005)

Second order cone programming relaxation of a positive semidefinite constraint (2003)

Incorporating Training Errors for Large Margin HMMS Under Semi-Definite Programming Framework

Second order cone programming (SOCP) relaxations for large margin HMMs in speech recognition

Similar Documents

Large-Margin Estimation of Hidden Markov Models With Second-Order Cone Programming for Speech Recognition

A compact semidefinite programming (SDP) formulation for large margin estimation of HMMS in speech recognition

Solving Large-Margin Hidden Markov Model Estimation via Semidefinite Programming

Large margin hidden Markov models for speech recognition

Large margin HMMs for speech recognition

A constrained joint optimization method for large margin HMM estimation

Large margin hidden markov models for speech recognition (2005)

Second order cone programming relaxation of a positive semidefinite constraint (2003)

Incorporating Training Errors for Large Margin HMMS Under Semi-Definite Programming Framework

Second order cone programming (SOCP) relaxations for large margin HMMs in speech recognition