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首页> 外文会议>Annual conference of the International Speech Communication Association;INTERSPEECH 2010 >Perceptual compensation for effects of reverberation in speech identification: A computer model based on auditory efferent processing
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Perceptual compensation for effects of reverberation in speech identification: A computer model based on auditory efferent processing

机译：语音识别中混响效果的感知补偿：基于听觉传出处理的计算机模型

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摘要

Human speech perception is remarkably robust to the effects of reverberation, due in part to mechanisms of perceptual constancy that compensate for the characteristics of the acoustic environment. A computer model of this phenomenon is described, which shows compensation for the effects of reverberation in a word identification task. The presence of reverberation is detected as a change in the mean-to-peak ratio of the simulated auditory nerve response. In turn, this leads to attenuation of peripheral auditory activity, which is achieved through an efferent feedback loop. The computer model provides a qualitative match to a range of perceptual data, suggesting that auditory mechanisms under efferent control might contribute to compensation for reverberation in particular speech identification tasks.
机译：人类的语音感知对混响效果非常强健，部分原因是感知常数的机制可以补偿声学环境的特征。描述了这种现象的计算机模型，该模型显示了对单词识别任务中混响效果的补偿。混响的存在被检测为模拟听觉神经反应的平均峰比的变化。反过来，这导致周围听觉活动的减弱，这是通过传出的反馈回路来实现的。该计算机模型提供了与一系列感知数据的定性匹配，表明在传出控制下的听觉机制可能有助于补偿特定语音识别任务中的混响。

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