Voice keyword recognition based on spiking convolutional neural network for human-machine interface

Voice keyword recognition based on spiking convolutional neural network for human-machine interface

In this paper, a spiking convolutional neural network (SCNN) model for voice keyword recognition is presented. The model consists of an input pre-processing layer, a spiking neural network (SNN) layer with build-in filter bank and the convolutional neural network (CNN) layers. A 16-channel infinite...

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Bibliographic Details
Main Authors: Hu, Jinhai, Goh, Wang Ling, Zhang, Zhongyi, Gao, Yuan
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Engineering
Spiking convolutional neural networks
Voice keyword recognition
Online Access:https://hdl.handle.net/10356/179088
https://ieeexplore.ieee.org/abstract/document/9081859

Internet

https://hdl.handle.net/10356/179088
https://ieeexplore.ieee.org/abstract/document/9081859

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