A psychoacoustic approach to dysphonic voice quality perception

语音质量感知障碍的心理声学方法

• 批准号: 9071982
• 负责人: David A. Eddins
• 金额: $ 24.01万
• 依托单位: UNIVERSITY OF GEORGIA
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9071982
• 关键词: psychoacoustic; approach; dysphonic; voice; quality

1 Voice disorders often lead to changes in voice quality noticed by patients, clinicians, and conversation 2 partners, and improvement in voice quality is a critical outcome of treatment. However, we have limited 3 knowledge of how people perceive voice quality. This has restricted our ability to accurately quantify or 4 describe changes in quality, such as due to a disease or when resulting from treatment. This continuation 5 project combines concepts and techniques from voice science, speech science, hearing science, and 6 engineering to address this problem. In general, the research proceeds by first obtaining high-precision 7 measures of voice quality perception in the laboratory. These data are then used to develop mathematical 8 models of voice quality perception that accurately reflect listeners' data. To obtain a close match between 9 human judgments of voice quality and model output, models of auditory processing are used to obtain an 10 internal representation of the voice acoustic signal. Specific measures are then captured from this internal 11 auditory representation and used to model the perception of voice quality. Methods for obtaining perceptual 12 judgments of single voice quality dimensions, the transformation of the acoustic signal to its internal 13 representation, and the general form of the voice quality models have been completed for two different voice 14 quality dimensions (breathiness and roughness) using simple stimuli (vowel /a/ as in "hot"). In the proposed 15 work, these approaches will be developed further to establish a framework for comprehensive understanding of 16 voice quality perception and to enable translation to clinical practice. These approaches will be (1) used to 17 account for multiple, co-occurring voice quality dimensions; (2) applied to more natural and complex stimuli 18 (multiple vowels and syllables); and (3) leveraged to understand other voice quality dimensions (strain). (4) To 19 increase model accuracy and to expand their applicability to severely dysphonic voices (e.g. Type II and Type 20 III), methods to estimate the "pitch" and "pitch strength" of dysphonic voices will be developed and incorporated 21 into relevant models. (4) To enhance the measurement schemes in a manner that improves clinical utility, 22 model output will be transformed to a scale that is intuitively related to the perceptual magnitude of each voice 23 quality dimension. This will create a set of intuitive voice quality metrics that are easy to use and interpret. (5) 24 Finally, the feasibility of using these models and metrics in regular clinical assessment will be evaluated 25 through an initial clinical study.

1语音障碍通常会导致患者、临床医生和谈话中注意到的语音质量变化 2个伙伴，语音质量的改善是治疗的关键结果。然而，我们有有限的 3了解人们如何感知语音质量。这限制了我们准确量化或 4描述质量的变化，例如由于疾病或治疗引起的变化。这一延续 5项目结合了声音科学，言语科学，听力科学和 六是解决工程问题。一般来说，研究首先获得高精度 7在实验室的语音质量感知措施。这些数据然后被用来开发数学 8种语音质量感知模型，准确反映听众的数据。在…之间获得接近的匹配 9人的声音质量和模型输出的判断，听觉处理模型被用来获得一个 10语音声学信号的内部表示。然后，从该内部 11听觉表示，并用于模拟语音质量的感知。用于获得感知的方法 12个判断单语音质量的维度，将声学信号变换到其内部 13种表示法，并以通用的形式对两种不同的语音完成了语音质量模型的建立 14个质量维度（呼吸和粗糙度）使用简单的刺激（元音/a/如“热”）。拟议 15工作，这些方法将进一步发展，以建立一个框架，全面了解 16语音质量感知，并使翻译到临床实践。这些方法将（1）用于 17占多个，共同出现的语音质量维度;（2）适用于更自然和复杂的刺激 18（多个元音和音节）;和（3）用于理解其他语音质量维度（应变）。(4)到 19提高模型的准确性，并将其适用性扩展到严重发声困难的声音（例如II型和II型） 20 III），将开发并纳入估计发声障碍声音的“音调”和“音调强度”的方法 21个相关模型。(4)为了以提高临床实用性的方式增强测量方案， 22模型输出将被转换为直观地与每个声音的感知幅度相关的尺度 23质量标准。这将创建一组直观的语音质量指标，易于使用和解释。（五） 最后，将评估在定期临床评估中使用这些模型和指标的可行性。 25、通过初步临床研究。