Improving Voice Production for Adults with Age-related Dysphonia

改善患有年龄相关性发声障碍的成年人的发声能力

• 批准号: 10461678
• 负责人: Robin Amy Samlan
• 金额: $ 3.84万
• 依托单位: UNIVERSITY OF ARIZONA
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-13 至 2022-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10461678
• 关键词: Acoustics; Adult; Air Movements; Algorithms; American; Communication; Communication impairment; Computer Models; Data; Dysphonia; Elderly; Environment; Future; Hearing; Hoarseness; Individual; Knowledge; Larynx; Measures; Mental Health; Modeling; Modification; Operative Surgical Procedures; Participant; Patients; Physics; Physiological; Physiology; Production; Quality of life; Respiration; Risk; Severities; Shapes; Signal Transduction; Speed; Techniques; Telephone; Testing; Theoretical model; United States; Voice; Voice Quality; Work; age related; base; experience; human subject; improved; kinematics; novel therapeutics; physical conditioning; respiratory; vibration; vocal cord; voice therapy

Project Summary/Abstract: Approximately 13 million Americans suffer from age-related dysphonia, a communication disorder resulting in hoarseness and weak voice. Communication difficulty places older adults at increased risk for mental and physical health problems, and dysphonia specifically interferes with the ability to participate in the work force and to be heard and understood when speaking in noisy environments and over the phone. Despite the importance of successful treatment of age-related dysphonia, voice therapy and surgery improve voice for a just small fraction of patients. A key barrier to improving treatment algorithms in age- related dysphonia is lack of knowledge about how voice therapy techniques change voice and which factors moderate that improvement. The objectives for this application are to determine the mechanisms by which specific therapy tasks improve voice in age-related dysphonia, and the conditions that limit the extent of improvement. The aims are directed at understanding the physics of voice therapies, aspects that can be studied with physiological data collected from voice users combined with theoretical and computational models. The Specific Aims are: (1) To determine how therapy tasks that modify respiration, vocal function, and vocal tract shape alter vocal fold vibration in older adults with age-related dysphonia, and (2) To determine through computational modeling how modifications to respiratory and vocal tract parameters alter glottal flow, the acoustic signal, and voice quality. In Aim 1, we will use laryngeal high-speed videoendoscopy to measure the changes to vocal fold kinematics as participants complete several voice therapy tasks. In Aim 2, we will personalize a computational vocal tract model to a subset of participants from Aim 1 in order to simulate incremental changes to individual airflow and vocal tract parameters and combinations of the parameters. Results will be analyzed using aerodynamic, acoustic, and perceptual measures. Taken together, the studies will provide the information necessary to determine the mechanisms by which specific tasks improve vocal function and voice quality. The results will be used to generate a matrix showing the extent of improvement to vocal fold vibration, acoustic measures, and voice quality with each therapy task or combination of tasks for a given severity level. The matrix will provide guidance for therapy planning based on initial patient presentation and will provide direction for novel therapies in the future. The resulting algorithm will be tested using human subjects in future work.

项目概要/摘要： 大约有1300万美国人患有与年龄有关的发声障碍， 导致声音嘶哑和虚弱。沟通困难使老年人面临更大的风险， 精神和身体健康问题以及发声困难特别会干扰参与的能力 在嘈杂的环境中和通过电话说话时， 尽管成功治疗年龄相关性发声障碍的重要性，声音治疗和手术 改善一小部分患者的声音。改善老年人治疗算法的一个关键障碍- 相关的发声障碍是缺乏关于声音治疗技术如何改变声音以及哪些因素的知识 缓和这种改善。本申请的目的是确定 特定的治疗任务改善了年龄相关性发声障碍的声音，以及限制发声障碍程度的条件。 改进.目的是为了了解物理学的声音治疗，方面，可以 研究与生理数据收集的语音用户结合理论和计算 模型具体目的是：（1）确定治疗任务如何改变呼吸，发声功能， 和声道形状改变声带振动的老年人与年龄相关的发声障碍，和（2） 通过计算建模确定呼吸和声道参数的修改如何改变 声门流量、声信号和语音质量。 目的1：利用喉高速内窥镜观察声带的变化 当参与者完成几个语音治疗任务时，运动学。在目标2中，我们将个性化 计算声道模型，以模拟增量 改变单个气流和声道参数以及参数的组合。结果将 使用空气动力学、声学和感知测量进行分析。这些研究将提供 确定特定任务改善发声功能的机制所需的信息， 语音质量结果将用于生成一个矩阵，显示声带改善的程度 振动、声学测量和语音质量与每个治疗任务或给定的任务组合 严重程度。该矩阵将根据初始患者表现为治疗计划提供指导 并将为未来的新疗法提供方向。由此产生的算法将使用人类测试。 未来工作的主题。