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在尖端神经网络中可学习的轴突延迟可以改善口语识别

Pengfei Sun1, Yansong Chua2, Paul Devos1

  • 1Department of Information Technology, WAVES Research Group, Ghent University, Ghent, Belgium.

Frontiers in neuroscience
|November 29, 2023
PubMed
概括

尖端神经网络 (SNN) 通过结合可学习的轴突延迟和跳过连接来实现最先进的口语识别. 这种生物启发的方法增强了语言任务的时间处理,以更少的参数优于传统的神经网络.

关键词:
审计建模 审计建模轴突延迟是指轴突延迟的时间.神经形态计算是一种神经形态计算.语音处理 语音处理尖的神经网络的神经网络.监督学习学习监督学习

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