Chaos in human phonation and its measurement

项目总结 由身体损伤、声音滥用、生理性疾病和手术引起的声音障碍是一种 巨大的社会代价，导致数百万人的生活受到严重的功能和心理限制 美国人。声学分析为嗓音障碍的临床评估提供了一种很有前途的工具；然而，它 尽管其低成本、客观性和非侵入性，但在研究之外并未被广泛应用。这个 声音产生的内在复杂性和无序声音的非周期性要求声学分析 是非线性的。目前的非线性参数能够量化正常发声和无序发声； 然而，现有的非线性方法不能全面地描述非平稳、动态的元件 包括语音信号。提出的研究的长期目标是扩大非线性的用途 临床动态分析作为发声功能障碍检测和嗓音监测的客观手段 治疗干预后的康复。 在目标1中，将使用切除的喉部模型来模拟和研究生理条件 导致呼吸和粗哑的发音，包括极大的声门下压力，声带伸长， 不对称张力，和良性肿块病变。扩散混沌和本征维非线性分析将 来评估相应的声学输出中存在的四种不同类型的组件 并随后构建语音类型分量简档(VTCP)。定量描述VTCP将 提供与生理位置和潜在条件有关的更多描述性信息 病态发声。目标2将侧重于将VTCP非线性分析应用于正常和障碍患者 在各种语音任务中，如元音、辅音发音和连接语音，以及对 临床治疗干预，包括手术治疗良性肿块病变和声带瘫痪 食道和气管食道语音的康复发声训练。为更广泛和更多的 非线性动力分析的广泛应用，我们将评估VTCP与 临床上建立的声音质量的听觉-知觉评估技术。这可能带来的影响 研究表明，扩散混沌和本征维非线性分析的创新方法将提供 与以前的声学参数相比，在计算效率和语音方面都有显著改进 质量描述。此外，对切除喉部发声障碍的声学分析将提供一个 检查病理性嗓音背后的生理和生物力学条件的物理模型 产量，这一点仍然知之甚少。最后，Vtcp分析作为诊断工具的临床应用。 将演示语音障碍检测。

PROJECT SUMMARY Voice disorders caused by physical injury, voice misuse, physiological disease, and surgery represent a significant social cost, resulting in severe functional and psychological limitations on the lives of millions of Americans. Acoustic analysis represents a promising tool for clinical assessment of voice disorders; however, it has not been widely applied outside of research despite its low cost, objectivity, and non-invasive nature. The intrinsic complexity of voice production and aperiodicity of disordered voice necessitates that acoustic analysis be nonlinear. Current nonlinear parameters are capable of quantifying both normal and disordered phonation; however, existing nonlinear methods fail to comprehensively describe the non-stationary, dynamic elements comprising voice signals. The long-term goal of the proposed research is to expand the utility of nonlinear dynamic analysis in clinical practice as an objective means for detecting vocal dysfunction and monitoring voice rehabilitation following treatment intervention. In Aim 1, excised larynx models will be employed to simulate and investigate physiological conditions contributing to breathy and rough phonation, including extreme subglottal pressures, vocal fold elongation, asymmetrical tension, and benign mass lesions. Diffusive chaos and intrinsic dimension nonlinear analysis will be implemented to evaluate the four different type components present in the corresponding acoustical output and to subsequently construct voice type component profiles (VTCP). Quantitatively describing the VTCP will provide more descriptive information pertaining to the physiological location and conditions underlying pathological phonation. Aim 2 will focus on applying VTCP nonlinear analysis to normal and disordered patients in a variety of voice tasks, such as vowel and consonant utterances and connected speech, and assessment of clinical treatment interventions, including surgical treatment of benign mass lesions and vocal fold paralysis and rehabilitative voice training for esophageal and tracheoesophageal speech. To facilitate wider and more extensive utility of nonlinear dynamic analyses, we will assess the concurrent validity of the VTCPs with the clinically established technique of auditory-perceptual assessment of voice quality. The likely impact of this research is that innovative methods of diffusive chaos and intrinsic dimension nonlinear analysis will provide significant improvements over previous acoustical parameters in both computationally efficiency and voice quality description. Moreover, acoustical analysis of disordered phonation in excised larynges will provide a physical model to examine the physiological and biomechanical conditions underlying pathologic voice production, which remains poorly understood. Lastly, the clinical utility of VTCP analysis as a diagnostic tool for voice disorder detection will be demonstrated.