Perception of dysarthric speech: An objective model of dysarthric speech evaluation with actionable outcomes

构音障碍言语的感知：具有可操作结果的构音障碍言语评估的客观模型

基本信息

批准号：
9911475
负责人：
Visar Berisha
金额：
$ 20.87万
依托单位：
ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
依托单位国家：
美国
项目类别：
财政年份：
2004
资助国家：
美国
起止时间：
2004-07-01 至 2022-01-31
项目状态：
已结题

项目摘要

Project Summary The trained ear of the speech-language pathologist is the gold standard assessment tool for clinical practice in motor speech disorders. However, perceptual judgments are vulnerable to bias and their relationship with estimates of listener intelligibility – the final arbiter of speech goodness – is indeterminate. Interpretable, objective, and robust outcome measures that provide targets for treatment are urgently needed in order to provide more precise care and reliably monitor patient progress. Based on theoretical models of speech perception, in our previous grants we have developed a novel set of outcome measures that provide a multidimensional intelligibility profile (MIP) by using custom speech stimuli and a new coding strategy that allows us to capture the types of errors that listeners make when listening to dysarthric speech. This has led to a more complete intelligibility profile that codifies these errors at different levels of granularity, from global to discrete. Simultaneously, we have also developed a computational model for evaluation of dysarthric speech capable of reliably estimating a limited set of intelligibility measures directly from the speech acoustics. To date, both the outcome measures and the objective model have been evaluated on cross-sectional data only. In this renewal application, our principal goal is to evaluate specific hypotheses regarding expected changes in this multidimensional intelligibility profile as a result of different intervention instruction conditions (loud, clear, slow). A secondary goal of the proposal is to further refine our objective model to predict the complete intelligibility profile and to evaluate its ability to detect intelligibility changes within individual speakers. This is critical for clinicians who currently have no objective ways to assess the value of their interventions. With the aim of improving the standard of care through technology, the long- term goal of this proposal is to develop stand-alone objective outcome measures for dysarthria that can provide clinicians with reliable treatment targets. Such applications have the potential to dramatically alter the current standard of care in speech pathology for patients with neurological disease or injury. Furthermore, these applications also have the potential to reduce health disparities by partially automating clinical intervention and providing easier access to these services to those in remote areas or in underdeveloped countries.

项目概要言语病理学家训练有素的耳朵是临床评估的黄金标准工具然而，知觉判断很容易受到偏见及其影响。与听众清晰度估计（语音质量的最终仲裁者）的关系是不确定的、客观的和强有力的结果衡量标准，为迫切需要治疗，以便提供更精确的护理并可靠地监测患者基于语音感知的理论模型，在我们之前的资助中，我们开发了一个一组新颖的结果测量，通过使用提供多维情报概况（MIP）自定义语音刺激和新的编码策略使我们能够捕获错误类型这导致了更完整的清晰度概况。我们同时以不同的粒度（从全局到离散）对这些错误进行编码。还开发了一种用于评估构音障碍语音的计算模型，能够可靠地直接根据语音声学估计一组有限的清晰度测量值。结果测量和目标模型仅根据横截面数据进行评估。更新申请，我们的主要目标是评估有关预期变化的具体假设这种多维清晰度分布是不同干预指令条件的结果（响亮、清晰、缓慢）该提案的第二个目标是进一步完善我们的目标模型来进行预测。完整的清晰度概况并评估其检测清晰度变化的能力这对于目前没有客观方法来评估价值的新教徒来说至关重要。他们的干预措施旨在通过技术提高护理标准，该提案的长期目标是针对构音障碍制定独立的客观结果衡量标准，此类应用具有显着的潜力。改变神经系统疾病或损伤患者言语病理学的现行护理标准。此外，这些应用程序还有可能部分减少健康差距自动化临床干预并使偏远地区的人们更容易获得这些服务或者在不发达国家。