Design and Implementation of Spike Coding Sound Sensor
ID:14 View Protection:PUBLIC Updated Time:2022-12-19 13:08:02 Hits:427 Poster Presentation

Start Time:Pending (Asia/Shanghai)

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Abstract
Compared with the existing speech recognition, the one based on the spiking neural network has higher robustness, lower cost, lower power consumption, and more biological basis. SNN highly depends on spiking signals as input, so an audio coding method for SNN is necessary. The audio coding circuit in this paper is based on the principle of the human cochlea and is completely constructed by analog signals. It enables audio coding to achieve faster response speed and higher robustness. After the audio signal is input into the circuit, the channels of different frequencies have spiking signal output.
Keywords
Audio signal coding;sound sensor;spiking neural network;speech recognition;human cochlea
Speaker
Fanxing Yang
School of Instrument Science and Engineering,Southeast University

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15th August 2022 25th September 2022 - Manuscript Submission
15th October 2022 - Acceptance Notification
1st November 2022 - Camera Ready Submission
1st November 2022 10th November 2022Early Bird Registration

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