Herrmann Björn
Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Canada.
Department of Psychology, University of Toronto, Toronto, Canada.
Elife. 2025 Mar 18;13:RP100830. doi: 10.7554/eLife.100830.
Neural activity in auditory cortex tracks the amplitude-onset envelope of continuous speech, but recent work counterintuitively suggests that neural tracking increases when speech is masked by background noise, despite reduced speech intelligibility. Noise-related amplification could indicate that stochastic resonance - the response facilitation through noise - supports neural speech tracking, but a comprehensive account is lacking. In five human electroencephalography experiments, the current study demonstrates a generalized enhancement of neural speech tracking due to minimal background noise. Results show that (1) neural speech tracking is enhanced for speech masked by background noise at very high signal-to-noise ratios (~30 dB SNR) where speech is highly intelligible; (2) this enhancement is independent of attention; (3) it generalizes across different stationary background maskers, but is strongest for 12-talker babble; and (4) it is present for headphone and free-field listening, suggesting that the neural-tracking enhancement generalizes to real-life listening. The work paints a clear picture that minimal background noise enhances the neural representation of the speech onset-envelope, suggesting that stochastic resonance contributes to neural speech tracking. The work further highlights non-linearities of neural tracking induced by background noise that make its use as a biological marker for speech processing challenging.
听觉皮层中的神经活动会追踪连续语音的幅度起始包络,但最近的研究结果却出人意料地表明,尽管语音清晰度降低,但当语音被背景噪声掩盖时,神经追踪反而会增强。与噪声相关的放大效应可能表明,随机共振——即通过噪声实现的反应促进——支持神经语音追踪,但目前仍缺乏全面的解释。在五项人类脑电图实验中,本研究证明了由于最小背景噪声而导致的神经语音追踪的普遍增强。结果表明:(1)在语音清晰度很高的极高信噪比(约30 dB SNR)下,被背景噪声掩盖的语音的神经语音追踪得到增强;(2)这种增强与注意力无关;(3)它在不同的固定背景掩蔽音中普遍存在,但对12人嘈杂声最为明显;(4)在头戴式耳机和自由场聆听中均存在,这表明神经追踪增强可推广到现实生活中的聆听。这项研究清晰地表明,最小背景噪声会增强语音起始包络的神经表征,这表明随机共振有助于神经语音追踪。这项研究进一步突出了背景噪声引起的神经追踪的非线性,这使得将其用作语音处理的生物学标记具有挑战性。