Human whistle could be a way to perform activation of different kind of devices, for example turn on and off a light in a smart room. Therefore, in this paper a human whistle detection and frequency estimation system is presented. Further, an investigation of human whistling and a robust non-linear feature extraction is presented. A system for robust performance due to sensor change and various noise situations is proposed using these features. Experiments in various noise situations are conducted.
Human Whistle Detection and Frequency Estimation
2008 Congress on Image and Signal Processing ; 5 ; 737-741
2008-05-01
1440920 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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