Auditory processing of reverberation: perceptual and computational investigations

混响的听觉处理：感知和计算研究

• 批准号: 8716207
• 负责人: James Andrew Traer
• 金额: $ 5.33万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-05-01 至 2017-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8716207
• 关键词: Acoustics; Affect; Algorithms; Auditory; Auditory system; Characteristics; Cochlear Implants; Communication Barriers; Comprehension; Computational algorithm; Computers; Data; Ear; Environment; Equipment; Failure; Fostering; Frequencies; Future; Goals; Hand; Hearing; Human; Injury; Investigation; Lead; Left; Life; Measurement; Measures; Methods; Nature; Perception; Positioning Attribute; Process; Property; Research; Sampling; Signal Transduction; Source; Speech; Speech Recognition Software; Structure; Sum; Surface; System; Testing; Time; User-Computer Interface; Work; absorption; base; design; disability; experience; interest; novel; operation; programs; public health relevance; research study; response; sound; speech recognition; statistics; success; voice recognition; volunteer

DESCRIPTION (provided by applicant): Humans commonly encounter reverberant sounds and, in order to accurately interpret acoustic data, reverberation processing must be a fundamental aspect of human audition. However, little is known about how the human auditory system detects reverberation, and subsequently processes reverberant signals. In addition, state-of- the-art computational dereverberation algorithms perform poorly compared with healthy human listeners. Hearing-impaired listeners, with and without cochlear implants, often show decreased comprehension in reverberant environments. Human perception of reverberation will be explored via two experimental methods: (1) Systematic measurement of reverberation properties in real-word spaces. This will measure the distribution of reverberation filter properties that humans regularly encounter. (2) Perceptual experiments with synthetic sources or synthetic reverberation filters. Volunteer listeners will judge synthetic sounds as "reverberant" or "dry" and attempt to match sources and filters. It is hypothesized that the auditory system must make assumptions about the source and/or filter to perceptually separate the two and if the synthetic source/filter violates these assumptions, listener's ability to correctly identify them from reverberant recordings will degrade. The broader objective of this work is to gain a basic understanding of how quantitative changes in an acoustic signal, affect both the perceived sound and sense of space in human listeners. Such work will inform the design of future audition experiments, cochlear implants, public-announcement systems for large reverberant spaces and automated voice-recognition systems for human-computer-interfaces.

描述（由申请人提供）：人类通常会遇到混响声音，为了准确解释声学数据，混响处理必须是人类听觉的一个基本方面。然而，人们对人类听觉系统如何检测混响并随后处理混响信号知之甚少。此外，与健康的人类听众相比，最先进的计算去混响算法的性能较差。听力受损的听众，无论是否植入人工耳蜗，在混响环境中的理解力通常会下降。 人类对混响的感知将通过两种实验方法进行探索：（1）系统测量真实空间中的混响特性。这将测量人类经常遇到的混响滤波器特性的分布。 (2) 使用合成源或合成混响滤波器进行感知实验。志愿者听众将判断合成声音为“混响”或“干燥”，并尝试匹配源和滤波器。据假设，听觉系统必须对源和/或滤波器做出假设，以在感知上将两者分开，如果合成源/滤波器违反这些假设，听众从混响录音中正确识别它们的能力将会降低。 这项工作的更广泛目标是基本了解声学信号的定量变化如何影响人类听众的感知声音和空间感。此类工作将为未来试听实验、人工耳蜗、大型混响空间的公共广播系统和人机界面自动语音识别系统的设计提供信息。