Sound feature detection using leaky integrate-and-fire neurons

被引：0
|
作者：
Smith, LS [1 ]
Fraser, DS [1 ]
机构：
[1] Univ Stirling, Dept Comp Sci & Math, Stirling FK9 4LA, Scotland
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PROCEEDINGS: SPEECH PROCESSING | 2004年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
We present a neurally inspired technique for detecting on-sets 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.
引用
收藏
页码：617 / 620
页数：4
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