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首页> 外文期刊>電子情報通信学会技術研究報告. 非線形問題. Nonlinear Problems >Reconstructing speech dynamics via a network of stochastic resonance neurons
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Reconstructing speech dynamics via a network of stochastic resonance neurons

机译:通过随机共振神经元网络重建语音动态

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As a new framework for understanding sensory mechanism of biological systems that accurately detect input signal, stochastic resonance phenomena have been recently paid a great deal of attention. In particular, Collins et al. reported that network of a large number of stochastic resonance neurons gives rise to robust sensory mechanism for detecting vas ions complex input signals. In this study, we investigate the effectiveness of such stochastic resonance network to chaotic input signals. We also apply the stochastic resonance system for detecting weak speech signals.
机译:作为用于理解精确检测输入信号的生物系统的感觉机制的新框架,随机共振现象近来引起了广泛关注。特别是,Collins等。报告指出,大量随机共振神经元的网络为检测血管离子复杂的输入信号提供了强大的感觉机制。在这项研究中,我们研究了这种随机共振网络对混沌输入信号的有效性。我们还将随机共振系统用于检测弱语音信号。

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