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| Paper: | SP-P8.6 |
| Session: | Voice Activity Detection and Speech Segmentation |
| Time: | Wednesday, May 19, 13:00 - 15:00 |
| Presentation: |
Poster |
| Topic: |
Speech Processing: Speech Analysis |
| Title: |
SOUND FEATURE DETECTION USING LEAKY INTEGRATE-AND-FIRE NEURONS |
| Authors: |
Leslie Smith; University of Stirling | | |
| | Dagmar Fraser; University of Stirling | | |
| 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. |
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