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首页> 外文期刊>NeuroImage >Robust cortical entrainment to the speech envelope relies on the spectro-temporal fine structure
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Robust cortical entrainment to the speech envelope relies on the spectro-temporal fine structure

机译:语音包络的牢固皮层夹带依赖于光谱时的精细结构

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Speech recognition is robust to background noise. One underlying neural mechanism is that the auditory system segregates speech from the listening background and encodes it reliably. Such robust internal representation has been demonstrated in auditory cortex by neural activity entrained to the temporal envelope of speech. A paradox, however, then arises, as the spectro-temporal fine structure rather than the temporal envelope is known to be the major cue to segregate target speech from background noise. Does the reliable cortical entrainment in fact reflect a robust internal "synthesis" of the attended speech stream rather than direct tracking of the acoustic envelope? Here, we test this hypothesis by degrading the spectro-temporal fine structure while preserving the temporal envelope using vocoders. Magnetoencephalography (MEG) recordings reveal that cortical entrainment to vocoded speech is severely degraded by background noise, in contrast to the robust entrainment to natural speech. Furthermore, cortical entrainment in the delta-band (1-4. Hz) predicts the speech recognition score at the level of individual listeners. These results demonstrate that reliable cortical entrainment to speech relies on the spectro-temporal fine structure, and suggest that cortical entrainment to the speech envelope is not merely a representation of the speech envelope but a coherent representation of multiscale spectro-temporal features that are synchronized to the syllabic and phrasal rhythms of speech.
机译:语音识别对背景噪声具有鲁棒性。一种潜在的神经机制是听觉系统将语音与收听背景隔离开来并对其进行可靠的编码。这种健壮的内部表示已在听觉皮层中通过神经活动夹带到语音的时间包络中得到证实。然而,由于频谱时的精细结构而不是时间包络被认为是将目标语音与背景噪声区分开的主要提示,因此出现了悖论。可靠的皮层夹带是否实际上反映了话音流的强大的内部“合成”,而不是对声包络的直接跟踪?在这里,我们通过降级频谱时态精细结构,同时使用声码器保留时域包络来测试该假设。磁脑电图(MEG)记录显示,与自然语言的强力夹带相反,背景噪声严重降低了对声码语音的皮层夹带。此外,在三角带(1-4。Hz)中的皮层夹带预测了单个听众水平的语音识别分数。这些结果表明,对语音的可靠皮层夹带依赖于时空精细结构,并且表明对语音包络的皮层夹带不仅是语音包络的表示,而且是与语音的音节节律。

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