语音:支持帕金森患者自我监控和管理的移动众包语音评估

Roisin Mcnaney, Mohammad Othman, D. Richardson, Paul Dunphy, Telmo Amaral, N. Miller, Helen Stringer, P. Olivier, John Vines
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引用次数: 19

摘要

我们介绍了speech,一个移动应用程序,它使用众包来支持帕金森症(PwP)患者的语言和声音问题的自我监测和管理。该应用程序允许参与者录制简短的语音任务,然后由人群工作人员对其进行评级和评估。然后speech将这些结果反馈给用户,向他们提供与他们无关的听众(因此不习惯他们的讲话模式)如何感知他们的例子。我们的研究分两个阶段进行。首先,我们评估了利用人群提供与专家相当的语音和语音评级的可行性。然后,我们进行了一项试验,以评估PwP如何利用语音提供反馈。我们的研究强调了像speech这样的应用程序如何为数字健康和福祉的自我监控开辟了新的机会,并为那些无法定期获得临床评估服务的人提供了一种方法,让他们能够练习并获得有意义的语言反馈。
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Speeching: Mobile Crowdsourced Speech Assessment to Support Self-Monitoring and Management for People with Parkinson's
We present Speeching, a mobile application that uses crowdsourcing to support the self-monitoring and management of speech and voice issues for people with Parkinson's (PwP). The application allows participants to audio record short voice tasks, which are then rated and assessed by crowd workers. Speeching then feeds these results back to provide users with examples of how they were perceived by listeners unconnected to them (thus not used to their speech patterns). We conducted our study in two phases. First we assessed the feasibility of utilising the crowd to provide ratings of speech and voice that are comparable to those of experts. We then conducted a trial to evaluate how the provision of feedback, using Speeching, was valued by PwP. Our study highlights how applications like Speeching open up new opportunities for self-monitoring in digital health and wellbeing, and provide a means for those without regular access to clinical assessment services to practice and get meaningful feedback on their speech.
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