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