ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Speech segmentation using extrema based signal track length measure

Ghosh, Prasanta Kumar (2007) Speech segmentation using extrema based signal track length measure. In: IEEE International Conference on Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. , 15-20 April 2007, Honolulu, HI .

[img] PDF
SPEECH_SEGMENTATION.pdf - Published Version
Restricted to Registered users only

Download (4Mb) | Request a copy
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...

Abstract

We introduce a novel temporal feature of a signal, namely extrema-based signal track length (ESTL) for the problem of speech segmentation. We show that ESTL measure is sensitive to both amplitude and frequency of the signal. The short-time ESTL (ST_ESTL) shows a promising way to capture the significant segments of speech signal, where the segments correspond to acoustic units of speech having distinct temporal waveforms. We compare ESTL based segmentation with ML and STM methods and find that it is as good as spectral feature based segmentation, but with lesser computational complexity.

Item Type: Conference Paper
Additional Information: Copyright 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: Speech analysis;Speech processing
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 14 Oct 2011 09:31
Last Modified: 14 Oct 2011 09:31
URI: http://eprints.iisc.ernet.in/id/eprint/41442

Actions (login required)

View Item View Item