DocumentCode :
2882450
Title :
A new robust algorithm for isolated word endpoint detection
Author :
Gu, Lingun ; Zahorian, Stephen
Author_Institution :
Old Dominion University, United States
Volume :
4
fYear :
2002
fDate :
13-17 May 2002
Abstract :
Teager Energy and Energy-Entropy Features are two approaches, which have recently been used for locating the endpoints of an utterance. However, each of them has some drawbacks for speech in noisy environments. This paper proposes a novel method to combine these two approaches to locate endpoint intervals and yet make a final decision based on energy, which requires far less time than the feature based methods. After the algorithm description, an experimental evaluation is presented, comparing the automatically determined endpoints with those determined by skilled personnel. It is shown that the accuracy of this algorithm is quite satisfactory and acceptable.
Keywords :
Complexity theory; Robustness; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
ISSN :
1520-6149
Print_ISBN :
0-7803-7402-9
Type :
conf
DOI :
10.1109/ICASSP.2002.5745582
Filename :
5745582
Link To Document :
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