DocumentCode :
1742197
Title :
Time-frequency methods for biological signal estimation
Author :
Nelson, D. ; Loughlin, P. ; Cristóbal, G. ; Cohen, L.
Author_Institution :
Dept. of Defense, Ft. Meade, MD, USA
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
110
Abstract :
We present methods for obtaining basic signal parameters and apply them to the problem of detection, estimation, and enhancement of biological signals. We apply these methods to human speech and whale sounds. In speech, the methods are used to obtain statistical properties of the signal so that the derived features may be used to cluster speakers. For whale sounds we show that the methods may be effectively used not only to obtain signal components and parameters but to also adaptively filter off the noise
Keywords :
Fourier transforms; audio signal processing; filtering theory; parameter estimation; speech processing; statistical analysis; time-frequency analysis; Fourier transform; adaptive filter; biological signal estimation; human speech; parameter estimation; statistical analysis; time-frequency analysis; whale sounds; Delay effects; Delay estimation; Filtering; Fourier transforms; Humans; Loudspeakers; Parameter estimation; Speech; Time frequency analysis; Whales;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.903497
Filename :
903497
Link To Document :
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