Cortical adaptation to sound reverberation.
Cortical adaptation to sound reverberation.
复制标题
大脑皮质对声音混响的适应。
DOI：
10.7554/elife.75090
复制
发表时间：
2022-05-26
期刊：
影响因子：
7.7
通讯作者：
Harper, Nicol S.
中科院分区：
文献类型：
--
作者：
Ivanov, Aleksandar Z.;King, Andrew J.;Willmore, Ben D. B.;Walker, Kerry M. M.;Harper, Nicol S.
在几乎所有的自然环境中，声音都会被附近的物体反射，产生许多延迟和失真的原始声音副本，称为混响。我们的大脑通常能很好地应对混响，使我们能够识别声源，而不管它们的环境如何。相反，混响会给语音识别算法和听力受损的人带来严重的困难。本研究探讨听觉系统如何应对混响。我们训练了一个线性模型来从模拟的混响对应物中恢复一组丰富的自然无回声声音。模型神经元通过将其接受性过滤器的抑制成分扩展到更多混响空间来实现这一点，并且以频率依赖的方式这样做。这些预测的影响，观察在相同的模拟混响环境中的雪貂的听觉皮层神经元的反应。总而言之，这些结果表明，听觉皮质神经元通过以与去混响一致的方式调整其滤波特性来适应混响。
In almost every natural environment, sounds are reflected by nearby objects, producing many delayed and distorted copies of the original sound, known as reverberation. Our brains usually cope well with reverberation, allowing us to recognize sound sources regardless of their environments. In contrast, reverberation can cause severe difficulties for speech recognition algorithms and hearing-impaired people. The present study examines how the auditory system copes with reverberation. We trained a linear model to recover a rich set of natural, anechoic sounds from their simulated reverberant counterparts. The model neurons achieved this by extending the inhibitory component of their receptive filters for more reverberant spaces, and did so in a frequency-dependent manner. These predicted effects were observed in the responses of auditory cortical neurons of ferrets in the same simulated reverberant environments. Together, these results suggest that auditory cortical neurons adapt to reverberation by adjusting their filtering properties in a manner consistent with dereverberation.