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The use of spike-based representations for hardware audition systems

机译:在硬件试听系统中使用基于峰值的表示形式

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Humans are able to process speech and other sounds effectively in adverse environments, hearing through noise, reverberation, and interference from other speakers. To date, machines have been unable to match human performance. One profound difference between biological and engineering systems comes at the input stage. In machines, an acoustic signal is typically chopped into short equally spaced segments in time. In biological systems, the cochlea outputs asynchronous spikes that respond in real-time to acoustic inputs. In this paper we describe a spiking cochlea implementation and recent experiments in both speaker and speech recognition that use spikes as input.
机译:人类能够在不利的环境中有效地处理语音和其他声音,通过噪音,混响和其他扬声器的干扰来聆听。迄今为止,机器还无法与人类的表现相提并论。生物学和工程学系统之间的一个深刻区别在于输入阶段。在机器中,声音信号通常会在时间上切成较短的等间隔段。在生物系统中,耳蜗输出异步尖峰,这些尖峰实时响应声学输入。在本文中,我们描述了尖峰的耳蜗实现以及使用尖峰作为输入的说话人和语音识别中的最新实验。

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