A Proposed Framework for Stutter Detection: Implementation on Embedded Systems.

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI:10.1109/AIC55036.2022.9848966

B. Alhalabi, Jonatahn Taylor, Harshal A. Sanghvi, A. Pandya

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引用次数: 1

Abstract

It is estimated that more than 70 million people in the world stutter. One of the major problems facing speech professionals who collaborate with stuttering patients is quantitatively monitoring and tracking improvements in and outside of therapy sessions. After extensive research, it was proposed to develop a bio-medical device that could be worn daily by patients to monitor and record key events in everyday conversations to track instances of stutters to be later analyzed by speech professionals. This bio-medical innovation shall assist the health professionals and caretakers of the stuttering individuals to help them get out of this behavior and compete in the real world. This paper extensively describes in detail a feasibility study carried out and prototype developed for such a device and contemplates its future uses and developments. This biomedical innovation shall provide data regarding various parameters in stuttering which needs to be evaluated and this evaluation fastens the process of the therapy provided by health professionals.

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一种口吃检测框架:在嵌入式系统上的实现。

据估计，世界上有超过7000万人口吃。与口吃患者合作的言语专业人员面临的主要问题之一是定量监测和跟踪治疗过程内外的改善情况。经过广泛的研究，提出了开发一种生物医学设备的建议，该设备可以由患者每天佩戴，以监测和记录日常对话中的关键事件，以跟踪口吃的情况，以便稍后由语言专业人员进行分析。这一生物医学创新将有助于卫生专业人员和口吃者的看护人帮助他们摆脱这种行为，并在现实世界中竞争。本文广泛详细地描述了为这种装置进行的可行性研究和原型开发，并展望了其未来的用途和发展。这一生物医学创新将提供有关需要评估的口吃各种参数的数据，这种评估将加快卫生专业人员提供的治疗过程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 IEEE World Conference on Applied Intelligence and Computing (AIC)

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