Prosody Assessment Toolbox

韵律评估工具箱

• 批准号: 9479313
• 负责人: Kirsty Lindaas
• 金额: $ 70.56万
• 依托单位: BIOSPEECH, INC.
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-01 至 2019-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9479313
• 关键词: Acoustics; Address; Adult; Affect; Affective; Algorithmic Analysis; Alzheimer' s Disease; Anger; Aphasia; Assessment tool; Attention deficit hyperactivity disorder; Auditory; Basic Science; Behavioral Research; Bipolar Disorder; Brain; Characteristics; Child; Client; Clinical Markers; Clinical assessments; Cognitive; Communication; Computer Assisted; Control Groups; Dementia; Development; Disease; Down Syndrome; Drug Industry; Dysarthria; Elements; Emotional; Generations; Goals; Health Personnel; Hearing; Hoarseness; Impaired cognition; Impairment; Individual; Institution; International; Journals; Judgment; Knowledge; Language; Language Tests; Learning; Lesion; Light; Linguistics; Lung; Martens; Measurement; Measures; Medical; Mental Depression; Methods; Motivation; Motor; Neurologic; Neurosciences Research; Organ; Parkinson Disease; Pattern; Pharmacological Treatment; Phase; Post-Traumatic Stress Disorders; Psychometrics; Research; Research Personnel; Risk; Role; Schizophrenia; Services; Speech; Speech-Language Pathology; Stimulus; Stress; Symptoms; System; Testing; Time; Tongue; Uncertainty; Voice; Voice Quality; active method; autism spectrum disorder; brain dysfunction; brain research; computerized; design; healthy aging; innovation; instrument; language impairment; lexical; mild cognitive impairment; novel; phrases; signal processing; social; sound; symptomatology; theories; tool; treatment response; usability; vocal cord

Speech is generated by multiple organs, such as the lungs, vocal chords, and the tongue, all of which modulate sound over time. Some features of this modulation pattern convey identities of phonetic segments: what is said. Complementary, suprasegmental, features refer to how it is said. These features can have communicative functions, in which case we use the term prosody. These communicative functions range from linguistic functions (e.g., lexical stress), to pragmatic functions (e.g., socially appropriate tone; or conveying doubt), to affective functions (e.g., screaming to convey anger). Suprasegmental features do not always have communicative functions, as, e.g., in hoarseness caused by vocal cord lesions. Abnormal receptive or expressive prosody is present in a wide range of disorders, including Autism Spectrum Disorder (ASD), Mild Cognitive Impairment (MCI), Down’s syndrome (DS), dysarthria, Parkinson’s disease, depression, schizophrenia, aphasia, Alzheimer’s disease, TBI, Language Impairment, bipolar disorder, ADHD, and PTSD. The characteristics of these prosodic abnormalities and underlying brain dysfunction are still largely unknown. This lack of knowledge, despite the important light research on prosody could cast on brain dysfunction in a large set of medical conditions, can have only one cause: “Current instruments for assessing prosodic deficits are decades behind those that are used for clinical assessment of other aspects of language” (Diehl, J. J., & Paul, R. (2009). The assessment and treatment of prosodic disorders and neurological theories of prosody. International journal of speech-language pathology, 11(4), 287-292). The best-developed instrument, Profiling Elements of Prosody in Speech-Communication (PEPS-C), a computer-aided battery of 2-alternative choice receptive tasks and speech generation tasks (scored correct/incorrect), while a major leap forwards, has many limitations – only further illustrating the immature state of the prosody assessment. Building on our broad expertise in computerized prosody assessment, we propose to build a system that addresses these shortcomings. The system performs automated scoring and acoustic analysis of expressive prosody, allows stimuli to be acoustically modified for detailed perceptual assessment of receptive prosody, and can be extended by researchers to include novel tasks. It is evaluated with individuals who have ASD (adults and children), DS (adults and children), or MCI, and a typically developing control group.

言语是由多个器官产生的，例如肺、声带和舌头，所有这些器官都会调节 随着时间的推移发出声音。这种调制模式的一些特征传达了语音片段的身份：什么是 说。互补的、超分段的特征指的是它的表达方式。这些功能可以具有沟通性 函数，在这种情况下我们使用术语韵律。这些交际功能的范围从语言 功能（例如，词汇重音），语用功能（例如，适合社交的语气；或表达疑问）， 情感功能（例如，通过尖叫来表达愤怒）。超分段特征并不总是具有 沟通功能，例如声带损伤引起的声音嘶哑。 异常的接受性或表达性韵律存在于多种疾病中，包括自闭症 频谱障碍 (ASD)、轻度认知障碍 (MCI)、唐氏综合症 (DS)、构音障碍、帕金森氏症 疾病、抑郁症、精神分裂症、失语症、阿尔茨海默病、TBI、语言障碍、双相情感障碍、 多动症和创伤后应激障碍。 这些韵律异常的特征和潜在的大脑功能障碍仍然在很大程度上 未知。尽管对韵律的研究很重要，但这种知识的缺乏可能会对大脑造成影响 大量医疗状况下的功能障碍可能只有一个原因：“目前用于评估的工具 韵律缺陷比用于语言其他方面临床评估的韵律缺陷落后数十年” （Diehl, J. J., & Paul, R. (2009)。韵律障碍和神经学理论的评估和治疗 的韵律。国际言语病理学杂志，11(4), 287-292)。发展最好的 仪器，语音交流韵律元素剖析 (PEPS-C)，一种计算机辅助的电池组 2-替代选择接受任务和语音生成任务（得分正确/不正确），同时实现重大飞跃 向前，有很多局限性——只能进一步说明韵律评估的不成熟状态。 基于我们在计算机化韵律评估方面的广泛专业知识，我们建议建立一个系统 解决了这些缺点。该系统对表现力进行自动评分和声学分析 韵律，允许对刺激进行声学修改，以对接受韵律进行详细的感知评估，以及 研究人员可以扩展以包括新的任务。它是针对患有自闭症谱系障碍 (ASD) 的个人（成人）进行评估 和儿童）、DS（成人和儿童）或 MCI，以及一个典型发育的对照组。