Title :
Robust sound onset detection using leaky integrate-and-fire neurons with depressing synapses
Author :
Smith, Leslie S. ; Fraser, Dagmar S.
Author_Institution :
Dept. of Comput. Sci. & Math., Univ. of Stirling, UK
Abstract :
A biologically inspired technique for detecting onsets in sound is presented. Outputs from a cochlea-like filter are spike coded, in a way similar to the auditory nerve (AN). These AN-like spikes are presented to a leaky integrate-and-fire neuron through a depressing synapse. Onsets are detected with essentially zero latency relative to these AN spikes. Onset detection results for a tone burst, musical sounds and the DARPA/NIST TIMIT speech corpus are presented.
Keywords :
acoustic signal detection; band-pass filters; neural nets; auditory nerve; cochlea filter; depressing synapses; fire neurons; leaky integrate neurons; sound onset detection; tone burst; Acoustic signal detection; Animals; Biological information theory; Delay; Event detection; Leak detection; NIST; Neurons; Robustness; Speech; Action Potentials; Animals; Auditory Pathways; Auditory Perception; Brain; Cochlea; Cochlear Nerve; Humans; Models, Neurological; Neural Inhibition; Neurons, Afferent; Pitch Discrimination; Reaction Time; Speech Perception; Synapses; Synaptic Transmission;
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2004.832831
