NDLI: Real-time end point detection specialized for acceleration signal

Content Provider	IEEE Xplore Digital Library
Author	Jong Gwan Lim Sang-Youn Kim Dong-Soo Kwon
Copyright Year	2009
Description	Author affiliation: Department of Mechanical Engineering, KAIST, Daejeon, Korea (Jong Gwan Lim; Dong-Soo Kwon) \|\| Korea University of Technology and Education, Cheonan, Korea (Sang-Youn Kim)
Abstract	Due to temporal and spectral difference between speech and acceleration signal, the conventional End Point Detection (EPD) in automatic speech recognition cannot be directly applied to acceleration and threshold-based algorithms found in literatures are too heuristic to be accepted for automatic EPD. In this regard, for motion detection by acceleration, supervised learning in pattern recognition is proposed to discriminate a motion state and a non-motion state simply. In succession of the previous research where we've concentrated on the feasibility test of the proposed approach and feature selection in general pattern recognition procedure, a new recognizer, Radial Basis Function network (RBF), is subsequently designed for the performance comparison with Multi-Layer Perceptron (MLP) which serves as a performance baseline. As a result, it is reported that the recognition rates variance between feature vectors is not significant in RBF while it is significant in MLP. In addition, recognition rates variance between subjects shows clear difference statistically in the both ways but more serious in RBF. Finally it is concluded that MLP and RBF don't make significant recognition rates difference and confirmed again that the sequence of the absolute 1st derivatives record comparatively more reliable and stable recognition performance.
Starting Page	5331
Ending Page	5335
File Size	365480
Page Count	5
File Format	PDF
ISBN	9784907764340
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-18
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	SICE
Subject Keyword	Acceleration Pattern recognition Automatic speech recognition Motion detection Vectors Signal processing Accelerometers Delay effects Filters Supervised learning Man-Machine Systems Signal Processing Pattern Recognition
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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