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Author Haigh, J.A. ♦ Mason, J.S.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1993
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Robustness ♦ Cepstral analysis ♦ Computer vision ♦ Speech analysis ♦ Noise measurement ♦ Algorithm design and analysis ♦ Time domain analysis ♦ Noise level ♦ Background noise ♦ Speech enhancement
Abstract This paper reviews algorithms which rely on the analysis of time domain samples to provide energy and zero-crossing rates, together with more recent algorithms that use different methods for speech detection. We then examine a different approach using cepstral analysis, showing a high degree of amplitude and noise level independence. We show that a cepstral based algorithm exhibits a high degree of independence to levels of background noise and successful speech end-pointing can be achieved via thresholding cepstral distance measures. Through the use of a noise code-book we are able to provide a successful reference for Euclidean distance measures in the voice detection algorithm.
Description Author affiliation: Speech Res. Group, Univ. Coll. of Swansea, UK (Haigh, J.A.; Mason, J.S.)
ISBN 0780312333
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1993-10-19
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 258.85 kB
Page Count 4
Starting Page 321
Ending Page 324


Source: IEEE Xplore Digital Library