Strauss Daniel J, Francis Alexander L, Schäfer Zeinab, Latzel Matthias, Corona-Strauss Farah I, Launer Stefan
Systems Neuroscience and Neurotechnology Unit, Faculty of Medicine, Saarland University, and School of Engineering, htw saar, Homburg/Saar, Germany.
Speech Perception and Cognitive Effort Lab, Department of Speech, Language and Hearing Sciences, Purdue University, West Lafayette, IN, United States.
Front Neurosci. 2025 Mar 14;19:1534425. doi: 10.3389/fnins.2025.1534425. eCollection 2025.
Listening to speech in the presence of irrelevant sounds is ubiquitous in the modern world, but is generally acknowledged to be both effortful and unpleasant. Here we argue that this problem arises largely in circumstances that our human auditory system has not evolved to accommodate. The soundscapes of the Anthropocene are frequently characterized by an overabundance of sound sources, the vast majority of which are functionally irrelevant to a given listener. The problem of listening to speech in such environments must be solved by an auditory system that is not optimized for this task. Building on our previous work linking attention to effortful listening and incorporating an active inference approach, we argue that the answers to these questions have implications not just for the study of human audition. They are also significant for the development and broad awareness of hearing aids and cochlear implants, as well as other auditory technologies such as earbuds, immersive auditory environments, and systems for human-machine interaction.
在现代世界中,在存在不相关声音的情况下听语音是很普遍的,但人们普遍认为这既费力又令人不快。在这里,我们认为这个问题主要出现在我们人类听觉系统尚未进化到能够适应的环境中。人类世的声景通常以声源过多为特征,其中绝大多数在功能上与特定听众无关。在这样的环境中听语音的问题必须由一个未针对此任务进行优化的听觉系统来解决。基于我们之前将注意力与费力聆听联系起来的工作,并采用主动推理方法,我们认为这些问题的答案不仅对人类听觉研究有影响。它们对于助听器和人工耳蜗以及其他听觉技术(如耳塞、沉浸式听觉环境和人机交互系统)的开发和广泛认知也具有重要意义。