A psychoacoustic approach to dysphonic voice quality perception in vowels

描述（由申请人提供）：语音质量障碍是语音障碍患者最常见的问题之一。了解发声障碍嗓音质量的声学基础并开发测量工具是评估和治疗这些患者的关键步骤。这些变化通常是治疗结果的主要指标。声带生理学，声学和声音质量的感知之间的关系的知识也是必要的，以指导这些患者的治疗策略。虽然语音质量的研究在过去的几十年里引起了极大的关注，但它一直受到一些问题的困扰。主观的方法来量化声乐质量是高度不一致的，缺乏有效性。客观方法的敏感性、特异性有限，缺乏一致性。因此，不存在用于评价语音质量的公认或标准化格式。我们以前的研究已经确定了导致这些问题的几个原因。其中包括：（1）控制不充分的感知实验，（2）声学刺激与其感知相关性之间的非线性映射，以及（3）对于每个语音质量存在多个声学线索（其通常显示交易关系）。我们已经能够通过使用心理测量学原理重新设计感知实验并通过使用听觉处理模型作为信号处理前端来解释这些因素。实际上，这使我们能够研究声音声学信号，因为它在听觉系统中表示。发现这种声音信号的“内部”表示提供了呼吸声音质量的测量，其比用于相同目的的传统测量好25%。这项研究是这项工作的延伸。我们试图（a）进一步完善的方法，获得精确的语音质量的感知判断，（B）使用这些方法来确定粗糙度和应变的声学线索，（c）开发计算模型来解释的感知发音困难的语音质量，（d）评估这些模型的成功预测语音质量的感知判断。研究结果将转化为临床实践，因为这些可以指导治疗策略，并导致制定评估治疗结果的措施。

DESCRIPTION (provided by applicant): Disorders of voice quality are one of the most frequent problems seen in patients with voice disorders. Understanding the acoustic bases for dysphonic voice quality and developing tool for its measurement is a critical step in the assessment and treatment of these patients. These changes are often the primary measure of treatment outcome. Knowledge of the relationships between vocal fold physiology, acoustic and the perception of vocal quality are also necessary to guide treatment strategies for these patients. Although the study of voice quality as attracted immense attention in the past several decades, it has been plagued by a number of problems. Subjective approaches to quantify vocal quality are highly inconsistent and lack validity. Objective methods have limited sensitivity, specificity and lack consistency. Therefore, no well-accepted or standardized format for the evaluation of voice quality exists. Our previous research has identified several reasons that contribute to these problems. These include: (1) inadequately controlled perceptual experiments, (2) non-linear mapping between the acoustic stimulus and its perceptual correlate, and, (3) the presence of multiple acoustic cues for each voice quality (which often show trading relationships). We have been able to account for these factors by redesigning perceptual experiments using psychometric principles and through the use of an auditory processing model as a signal processing front-end. In effect, this allows us to study the vocal acoustic signal as it is represented in the auditory system. This "internal" representation of the vocal signal was found to provide measures of breathy voice quality that were as much as 25% better than conventional measures for the same purpose. The proposed research is an extension of this work. We seek to (a) further refine the methods for obtaining precise perceptual judgments of voice quality, (b) use these methods to determine the acoustic cues for roughness and strain, (c) develop computational models to explain the perception of dysphonic voice quality and, (d) evaluate the success of these models to predict the perceptual judgments of voice quality. The findings will then be translated into clinical practice as these can guide treatment strategies and lead to the development of measures to assess treatment outcome.