Signal Processing in Audition

试听中的信号处理

• 批准号: 7328597
• 负责人: Fan-Gang Zeng
• 金额: $ 40.08万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-01-01 至 2009-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7328597
• 关键词: Acoustics; Address; Algorithms; Attention; Auditory system; Basic Science; Biomimetics; Clinical; Cochlear Implants; Code; Complete Hearing Loss; Cues; Data; Dimensions; Electrodes; Figs - dietary; Frequencies; Hearing; Hearing Impaired Persons; Implant; Knowledge; Laboratories; Lead; Maps; Measures; Medical Device; Methods; Music; Noise; Perception; Performance; Pitch Perception; Positioning Attribute; Process; Psychophysiology; Range; Rate; Reporting; Research; Research Personnel; Scheme; Scientific Advances and Accomplishments; Speech; Structure; Techniques; Telecommunications; Testing; Time; Translating; Work; base; clinically significant; computerized data processing; gang; improved; interdisciplinary approach; novel; novel strategies; programs; simulation; speech recognition; success

As the only medical device that can restore hearing in deaf people, the cochlear implant has produced good speech recognition in quiet. However, the current implants are seriously limited in speech recognition in noise and in music perception. The long-term objectives of this research program are to understand signal processing in the normal auditory system and to restore functional hearing via auditory prostheses in hearing-impaired persons. Recent work from our laboratory and others has shown that pitch, temporal fine structure, and dynamic acoustic cues are crucial to improve realistic listening performance, but are not adequately encoded in current cochlear implants. Our working hypothesis is that extraction and encoding of these important cues will lead to an overall improvement in cochlear implant performance. We propose three novel methods to test this hypothesis. The three Specific Aims address each of these novel methods: (1) Co- vary stimulation rate and position to encode pitch; (2) Adapt modern vocoder algorithms to encode temporal fine structure; and (3) Use biologically-inspired signal processing to encode dynamic acoustic cues. Our multidisciplinary approach integrates psychophysical, speech coding, and signal processing techniques. A unique feature of this approach is that all algorithms are developed based on rigorous psychophysical and simulation measures, and will be evaluated and perfected in actual implant users with real-time implementations. Successful completion of the proposed research should yield results of high theoretical and practical significance. It will likely advance scientific knowledge on the centuries-old but still unresolved pitch coding question (Aim 1), bridge the technological gap between relatively rudimentary cochlear implants and modern telecommunication (Aim 2), and inspire translational work from basic research to clinical problems (Aim 3).

作为唯一可以恢复聋人听力的医疗设备，人工耳蜗已经产生了良好的效果。 语音识别然而，目前的植入物在语音识别方面受到严重限制， 噪音和音乐感知。这项研究计划的长期目标是了解信号 在正常的听觉系统中进行处理，并通过听觉假体恢复功能性听力， 听力受损的人。我们实验室和其他人最近的工作表明，音高，时间的罚款， 结构和动态声学线索对于提高真实听觉性能至关重要，但 在当前的耳蜗植入物中被充分编码。我们的工作假设是， 这些重要的线索将导致耳蜗植入物性能的整体改进。我们提出了三 检验这一假设的新方法。这三个具体目标涉及这些新方法中的每一种：（1）共同- 改变刺激速率和位置来编码音高;（2）适应现代声码器算法来编码时间 精细结构;以及（3）使用生物启发的信号处理来编码动态声学提示。我们 多学科方法集成了心理物理学、语音编码和信号处理技术。一 这种方法的独特之处在于，所有算法都是基于严格的心理物理学和 模拟措施，并将在实际的植入物用户进行实时评估和完善 实现方式的成功完成拟议的研究应产生高理论和 现实意义它可能会在几个世纪以来，但仍然悬而未决的球场上推进科学知识 编码问题（目标1），弥合相对初级的人工耳蜗植入和 现代电信（目标2），并激发从基础研究到临床问题的转化工作 (Aim 3）。