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混响对兔听觉中脑对自然语音神经反应的影响:无神经去混响机制的证据。

Effect of Reverberation on Neural Responses to Natural Speech in Rabbit Auditory Midbrain: No Evidence for a Neural Dereverberation Mechanism.

机构信息

Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston, MA 02114-3096

Department of Otolaryngology, Head and Neck Surgery, Harvard Medical School, Boston, MA 02115.

出版信息

eNeuro. 2023 May 10;10(5). doi: 10.1523/ENEURO.0447-22.2023. Print 2023 May.

Abstract

Reverberation is ubiquitous in everyday acoustic environments. It degrades both binaural cues and the envelope modulations of sounds and thus can impair speech perception. Still, both humans and animals can accurately perceive reverberant stimuli in most everyday settings. Previous neurophysiological and perceptual studies have suggested the existence of neural mechanisms that partially compensate for the effects of reverberation. However, these studies were limited by their use of either highly simplified stimuli or rudimentary reverberation simulations. To further characterize how reverberant stimuli are processed by the auditory system, we recorded single-unit (SU) and multiunit (MU) activity from the inferior colliculus (IC) of unanesthetized rabbits in response to natural speech utterances presented with no reverberation ("dry") and in various degrees of simulated reverberation (direct-to-reverberant energy ratios (DRRs) ranging from 9.4 to -8.2 dB). Linear stimulus reconstruction techniques (Mesgarani et al., 2009) were used to quantify the amount of speech information available in the responses of neural ensembles. We found that high-quality spectrogram reconstructions could be obtained for dry speech and in moderate reverberation from ensembles of 25 units. However, spectrogram reconstruction quality deteriorated in severe reverberation for both MUs and SUs such that the neural degradation paralleled the degradation in the stimulus spectrogram. Furthermore, spectrograms reconstructed from responses to reverberant stimuli resembled spectrograms of reverberant speech better than spectrograms of dry speech. Overall, the results provide no evidence for a dereverberation mechanism in neural responses from the rabbit IC when studied with linear reconstruction techniques.

摘要

混响在日常声学环境中无处不在。它降低了双耳线索和声信号包络调制的质量,从而损害语音感知。尽管如此,人类和动物在大多数日常环境中仍能准确地感知混响刺激。先前的神经生理学和感知研究表明,存在部分补偿混响影响的神经机制。然而,这些研究受到所使用的高度简化刺激或基本混响模拟的限制。为了进一步描述听觉系统如何处理混响刺激,我们记录了未麻醉兔子下丘脑中的单个单位(SU)和多个单位(MU)活动,以响应无混响(“干”)和各种程度的模拟混响(直接到混响能量比(DRR)范围从 9.4 到-8.2 dB)的自然语音。使用线性刺激重建技术(Mesgarani 等人,2009)来量化神经集合反应中可用的语音信息量。我们发现,对于干语音和中等混响,可以从 25 个单位的集合中获得高质量的频谱图重建。然而,对于 MU 和 SU,在严重混响下,频谱图重建质量都恶化了,神经退化与刺激频谱图的退化相平行。此外,从混响刺激的反应中重建的频谱图比干语音的频谱图更类似于混响语音的频谱图。总的来说,这些结果没有为兔子下丘脑中的神经反应提供线性重建技术研究时的去混响机制的证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a714/10179871/44003ea5845c/ENEURO.0447-22.2023_f001.jpg

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