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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326061
