DocumentCode
417223
Title
Sound feature detection using leaky integrate-and-fire neurons
Author
Smith, Leslie S. ; Fraser, Dagmar S.
Author_Institution
Dept. of Comput. Sci. & Math., Stirling Univ., UK
Volume
1
fYear
2004
fDate
17-21 May 2004
Abstract
We present a neurally inspired technique for detecting onsets in sound. The outputs from a cochlea-like filter are spike coded, in a way similar to the auditory nerve. These AN-like spikes are presented to leaky integrate-and-fire (LIF) neurons through a depressing synapse. The spike outputs from these are then processed by another layer of LIF neurons. Onsets are detected with essentially zero latency. We present results from the TIMIT database.
Keywords
ear; feature extraction; neural nets; signal detection; speech processing; AN-like spikes; TIMIT database; cochlea-like filter; depressing synapse; leaky integrate-and-fire neurons; onset detection; sound feature detection; spike coding; zero latency; Amplitude modulation; Biological system modeling; Biological systems; Computer vision; Delay; Filters; Leak detection; Neurons; Reverberation; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8484-9
Type
conf
DOI
10.1109/ICASSP.2004.1326061
Filename
1326061
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