Objective assessment of vocal fatigue in laboratory and real-world settings

实验室和现实环境中声音疲劳的客观评估

• 批准号: 10723486
• 负责人: Hamzeh Ghasemzadeh
• 金额: $ 13.28万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10723486
• 关键词: Accelerometer; Acoustics; Adult; Affect; Ambulatory Monitoring; Behavior; Characteristics; Clinical; Clinical Management; Compensation; Consensus; Data; Data Set; Databases; Deterioration; Development; Etiology; Exhibits; Fatigue; Female; Goals; Health Care Costs; Image; Individual; Intuition; Judgment; Knowledge; Laboratories; Laboratory Study; Life; Loudness; Machine Learning; Measurement; Measures; Medical; Modality; Modeling; Monitor; Neck; Occupations; Pain; Participant; Patients; Pattern; Periodicals; Persons; Phase; Productivity; Protocols documentation; Recovery; Reporting; Rest; Series; Shoulder; Speed; Stress Tests; Surface; Symptoms; System; Time; Training Programs; Variant; Voice; Voice Disorders; Voice Quality; Work; behavior prediction; clinical predictors; data acquisition; disability; experience; improved; insight; machine learning framework; male; multimodal data; multimodality; novel; novel strategies; predictive modeling; prevent; societal costs; supervised learning; teacher; tool; vibration; vocal cord; wireless sensor

Project Summary/Abstract Approximately 30% of US adults are affected by a voice disorder during their lives, with about 25 million people experiencing a voice disorder at any given point in time, resulting in societal costs (lost work, medical expenses, etc.) estimated at $13.5 billion annually. Vocal fatigue (VF) is viewed as an etiological and/or reactive component in most common voice disorders and is also among the most common voice-related complaints of individuals who rely on their voices to make a living (e.g., teachers, singers, etc.). Previous definitions of VF have varied with a recent attempt at consensus describing VF as a multifaceted concept that involves an individual’s self- perceived symptoms (e.g., increased effort and discomfort) and/or a deterioration in vocal function associated with an individual’s attempt to meet his/her vocal demands. Prior studies have demonstrated high speaker-to- speaker variability in recovery from VF, but the factors associated with such high variability are not determined. Unfortunately, there is a paucity of objective information about the causes and impact on phonatory mechanisms of VF, limiting efforts to prevent and clinically manage this common complaint. The objectives of this project are (1) to use a multi-modal measurement approach to comprehensively, and objectively, describe the progressive impact of VF on vocal function, (2) to quantify the underlying voicing-resting behaviors that contribute to the progression of VF and its recovery, and (3) to identify the vocal function and vocal behavior parameters that could account for the observed high variability in VF recovery trajectories. The objectives of this study are pursued using a combination of an existing ambulatory voice monitoring dataset and new data. The existing dataset includes ambulatory voice recordings from 87 vocally typical individuals (for a total of 889 days) and 123 patients with vocal hyperfunction (for a total of 763 days). The new data will include a well-controlled inlab vocal loading protocol, and three days of infield monitoring using a state-of-the-art wireless monitoring system. The inlab session will include periodic multi-modal data acquisition of vocal function (high- speed videoendoscopy, aerodynamics, electroglottography, acoustics, and neck-surface accelerometry) during the progression of the loading protocol. Statistical power of machine learning is combined with two novel ambulatory measures of vocal fold dissipated energy (reflecting vocal function) and a time series voicing-resting ratio (the temporal sequencing of phonatory and resting periods reflecting vocal behavior) to quantify progression and recovery of VF in terms of a person’s prior cumulative vocal behavior and vocal function. Achieving the goals of this project will lay the groundwork for the development of new clinical tools for preventing, assessing, and alleviating VF, which will be particularly valuable for professionals in occupations requiring heavy voice use.

项目概要/摘要 大约 30% 的美国成年人一生中患有嗓音障碍，约有 2500 万人 在任何特定时间点经历声音障碍，导致社会成本（失业、医疗费用、 等）估计每年 135 亿美元。声音疲劳 (VF) 被视为病因和/或反应性成分 是最常见的嗓音障碍，也是个人最常见的与嗓音相关的投诉之一 依靠声音谋生的人（例如教师、歌手等）。以前对 VF 的定义有所不同 最近试图达成共识，将心室颤动描述为一个多层面的概念，涉及个人的自我 感知到的症状（例如，努力增加和不适）和/或相关发声功能恶化 个人试图满足他/她的声音要求。先前的研究表明，说话者对 VF 恢复过程中说话人的变异性存在差异，但与这种高变异性相关的因素尚未确定。 不幸的是，缺乏关于发声机制的原因和影响的客观信息 室颤的发生，限制了预防和临床处理这种常见病症的努力。 该项目的目标是（1）使用多模态测量方法来全面、 客观地描述 VF 对发声功能的渐进影响，(2) 量化潜在的发声休息 有助于 VF 进展及其恢复的行为，以及 (3) 识别发声功能和 声音行为参数可以解释观察到的 VF 恢复轨迹的高变异性。这 本研究的目标是结合现有的动态语音监测数据集和 新数据。现有数据集包括 87 个典型声音个体的动态录音（对于 共889天）和123名声乐功能亢进患者（共763天）。新数据将包括 良好控制的实验室内声音加载协议，以及使用最先进的无线技术进行三天的内场监控 监控系统。实验室会议将包括声音功能的定期多模式数据采集（高 速度视频内窥镜检查、空气动力学、电声门描记术、声学和颈表面加速测量） 加载协议的进展。机器学习的统计能力与两种新颖的技术相结合 声带耗散能量（反映发声功能）的动态测量和发声-休息时间序列 比率（反映发声行为的发声期和休息期的时间顺序）来量化进展 以及根据一个人之前累积的发声行为和发声功能来恢复 VF。 实现该项目的目标将为开发新的临床工具奠定基础，以预防、 评估和缓解 VF，这对于从事需要重度工作的职业的专业人员来说尤其有价值 语音使用。