Design and Implementation of Spike Coding Sound Sensor
ID:14 View Protection:PUBLIC Updated Time:2022-12-19 13:08:02 Hits:1081 Poster Presentation

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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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Important Date
  • Conference Date

    Nov 30

    2022

    to

    Dec 02

    2022

  • Nov 30 2022

    Draft paper submission deadline

  • Dec 24 2022

    Contribution Submission Deadline

  • Apr 13 2023

    Registration deadline

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Harbin Insititute of Technology
China Instrument and Control Society
Heilongjiang Instrument and Control Society
Chinese Institute of Electronics
IEEE I&M Society Harbin Chapter
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