Computational Audition Workshop

这笔赠款将支持为期两天半的计算海选研讨会，聚集了来自广泛学科的顶尖科学家。计算听力是研究如何在生物有机体和机器中从声音中获取信息的学科，是一个新兴领域。这个主题很广泛，涵盖了不同的科学家群体，包括神经科学家、心理学家、心理物理学家、言语科学家、计算机科学家和工程师。计算试听领域有潜力成为具有大量内在知识兴趣的跨学科研究的典范。它将成为科学发展的温床，这次会议将帮助该领域朝着这一目标发展。广泛影响计算听力对于开发新的技术应用以及寻找新的临床治疗方法都很重要(因为了解正常听力的基础将有助于治疗听力障碍)。然而，与许多其他相关领域相比，它的潜力还没有得到充分开发。例如，人类和机器感知的研究在很大程度上是由视觉主导的，相比之下，听觉被忽视了。这次研讨会将促进计算试听跨学科研究的发展，以利用这一潜力。

This grant will support a two-and-a-half-day long workshop on Computational Audition, bringing together top scientists from a broad range of disciplines. Computational audition, the study of how information can be derived from sound in both biological organisms and in machines, is an emerging field. The topic is broad, encompassing a diverse group of scientists including neuroscientists, psychologists, psychophysicists, speech scientists, computer scientists, and engineers. The field of computational audition has the potential to be a model of interdisciplinary research with a great deal of intrinsic intellectual interest. It is primed to become a hotbed of scientific growth, and this meeting will help the field evolve toward that goal.Broader ImpactsComputational audition is important both for developing new technological applications as well as for finding new clinical treatments (because understanding the basis of normal hearing will help treat hearing impairment). And yet by comparison to many other related fields, its potential is underexplored. For instance, research on human and machine perception has been dominated to a large extent by vision, with hearing neglected by comparison. This workshop will nurture the development of interdisciplinary research in computational audition that will capitalize on this potential.