NDLI: Isolated word endpoint detection using time-frequency variance kernels

Content Provider	IEEE Xplore Digital Library
Author	Kyriakides, A. Pitris, C. Spanias, A.
Copyright Year	2011
Description	Author affiliation: SenSIP Center, School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, 85287, USA (Spanias, A.) \|\| KIOS Center, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus (Kyriakides, A.; Pitris, C.) A major challenge in developing endpoint detection systems is the presence of background noise. We have developed a hybrid method for performing endpoint detection which is based on spectrogram estimation using LPC and a detection process based on imaging operations on the spectrogram. High-variance regions in the spectrogram, captured by variance kernels, can be used to accurately determine the endpoints of speech. This hybrid approach to endpoint detection is robust to various types and levels of background noise. Compared with two other publicly-available methods, our approach performs favorably.
Starting Page	585
Ending Page	589
File Size	91517
Page Count	5
File Format	PDF
ISBN	9781467303217
ISSN	10586393
e-ISBN	9781467303231
DOI	10.1109/ACSSC.2011.6190069
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Spectrogram Noise Robustness Kernel Speech recognition Time frequency analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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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
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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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