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首页> 外文期刊>Audio, Speech, and Language Processing, IEEE Transactions on >Prosody-Preserving Voice Transformation to Evaluate Brain Representations of Speech Sounds
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Prosody-Preserving Voice Transformation to Evaluate Brain Representations of Speech Sounds

机译：保留韵律的语音转换以评估语音的大脑表示

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摘要

This study employs a voice-transformation to overcome the limitations of brain mapping to study brain representations of natural sounds such as speech. Brain mapping studies of natural sound representations, which present a fixed sound to many neurons with different acoustic frequency selectivity, are difficult to interpret because individual neurons exhibit considerable unexplained variability in the dynamical aspects of their evoked responses. This new approach samples how a single recording responds to an ensemble of sounds, instead of sampling an ensemble of neuronal recordings. A noise excited filter-bank analysis and resynthesis vocoder systematically shifts the frequency band occupied by sounds in the ensemble. The quality of the voice transformation is assessed by evaluating the number of bands the filter bank must have to support emotional prosody identification. Perceptual data show that emotional prosody can be recognized within normal limits if the bandwidth of filter-bank channels is less than or equal to the bandwidth of perceptual auditory filters. Example physiological data show that stationary linear transfer functions cannot fully explain the responses of central auditory neurons to speech sounds, and that deviations from model predictions are not random. They may be related to acoustic or articulatory features of speech.
机译：这项研究采用语音转换来克服大脑映射的局限性，以研究自然声音（例如语音）的大脑表示。对自然声音表示的大脑映射研究会向许多具有不同声频选择性的神经元提供固定的声音，因此难以解释，因为单个神经元在其诱发反应的动力学方面表现出相当大的无法解释的可变性。这种新方法对单个录音如何响应声音集合进行采样，而不是对神经元录音集合进行采样。噪声激励的滤波器组分析和再合成声码器系统地移动集成中声音占据的频带。语音转换的质量通过评估滤波器组支持情感韵律识别所必须带的数量来评估。感知数据表明，如果滤波器组通道的带宽小于或等于感知听觉滤波器的带宽，则可以在正常范围内识别情绪韵律。生理数据示例表明，平稳的线性传递函数不能完全解释中央听觉神经元对语音的响应，并且与模型预测的偏差也不是随机的。它们可能与语音的声音或发音特征有关。

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