A New Approach to Sound Source Identification

声源识别的新方法

• 批准号: 7176864
• 负责人: Robert A Lutfi
• 金额: $ 21.02万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-03-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7176864
• 关键词: Acoustics; Area; Auditory; Behavior; Complex; Condition; Cues; Disease regression; Employee Strikes; Equation; Event; Feedback; Glass; Hearing; Individual; Individual Differences; Instruction; Judgment; Methods; Modeling; Motion; Noise; Pattern; Performance; Process; Psychophysiology; Rehabilitation therapy; Relative (related person); Reliance; Research Personnel; Residual state; Sensory; Shapes; Source; Staging; Stimulus; Testing; Training; Vision; Weight; Wine; Wood material; Work; base; musician; novel strategies; programs; response; size; sound; success; technology development

DESCRIPTION (provided by applicant): We rely critically on our ability to identify simple objects and events from sound to function normally in everyday listening. Yet, despite its importance, little is known regarding this ability. A new psychophysical method promises to change this situation. Perturbation analysis has enjoyed recent success in vision as a means of revealing decision processes underlying object identification. Here it is applied to the auditory identification of elementary sound sources and their attributes. The application proceeds in three stages: First, the sounds of simple resonant sources are synthesized according to their equations of motion from theoretical acoustics. Second, listener decision strategy is determined from regression weights relating listener judgments to lawful perturbations in acoustic parameters as dictated by the equations for motion. Third, limits in processing are identified by comparing the obtained weights and residuals to those of a maximum-likelihood observer that bases decisions on acoustic information unique to the source attribute(s) being judged. The approach represents a significant advance over past methods that infer decision strategy from performance accuracy or from the effect of placing acoustic cues in unlawful opposition. Specific aims are: (1) to determine precisely how listeners use multiple sources of acoustic information to identify rudimentary sound sources and their attributes, (2) to isolate the factors that limit identification using training feedback and instruction, and (3) to test a general theoretical framework for predicting results in which less accurate though perceptually more robust acoustic cues offer a viable basis for identification. By advancing our understanding of the normal processes underlying sound source identification the results may prove key in the development of technologies and rehabilitative strategies that deal more effectively with the impact of dysfunctional hearing on everyday listening.

描述（由申请人提供）：我们严格依靠我们识别从声音中识别简单对象和事件的能力，可以在日常聆听中正常功能。然而，尽管它很重要，但对此能力知之甚少。一种新的心理物理方法有望改变这种情况。扰动分析在视觉方面取得了成功，这是揭示对象识别基础决策过程的一种手段。在这里，它应用于基本音源及其属性的听觉识别。该应用程序分为三个阶段：首先，简单共振源的声音是根据理论声学的运动方程式合成的。其次，听众的决策策略是由回归权重确定的，这些权重将听众判断与声学参数中的合法扰动有关，如运动方程所决定的。第三，通过将所获得的权重和残差与最大似然观察者的权重和残差进行比较，该限制的限制是基于判断源属性所特有的声学信息的决策。该方法代表了过去方法的重大进步，这些方法是从性能准确性或将声学提示放置在非法反对派中的效果中推断出决策策略的重大进步。具体目的是：（1）确切确定听众如何使用多种声音信息来识别基本的声音源及其属性，（2）隔离使用培训反馈和教学的限制识别识别的因素，以及（3）测试一般理论框架，以预测较少准确的结果，以确定可靠的稳定性基础，以识别可识别可靠性的拟态性，以识别一个可靠的知识。通过促进我们对声音源识别基础的正常过程的理解，结果可以证明在制定技术和康复策略的过程中，这些策略更有效地处理了功能障碍听力对日常聆听的影响。