Design and Implementation of Spike Coding Sound Sensor
编号:14 访问权限:公开 更新:2022-12-19 13:08:02 浏览:551次 张贴报告

报告开始:暂无开始时间(Asia/Shanghai)

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摘要
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.
关键词
Audio signal coding;sound sensor;spiking neural network;speech recognition;human cochlea
报告人
Fanxing Yang
School of Instrument Science and Engineering,Southeast University

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重要日期
  • 会议日期

    11月30日

    2022

    12月02日

    2022

  • 11月30日 2022

    初稿截稿日期

  • 12月24日 2022

    报告提交截止日期

  • 04月13日 2023

    注册截止日期

主办单位
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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