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Speech Technology for Automatic Recognition and Assessment of Dysarthric Speech: An Overview.

J Speech Lang Hear Res

January 2025

Centre for Language Studies, Radboud University, Nijmegen, the Netherlands.

Purpose: In this review article, we present an extensive overview of recent developments in the area of dysarthric speech research. One of the key objectives of speech technology research is to improve the quality of life of its users, as evidenced by the focus of current research trends on creating inclusive conversational interfaces that cater to pathological speech, out of which dysarthric speech is an important example. Applications of speech technology research for dysarthric speech demand a clear understanding of the acoustics of dysarthric speech as well as of speech technologies, including machine learning and deep neural networks for speech processing.

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Objectives: Patients suffering from chronic pain use online platforms, such as Reddit, to engage in personal exchanges while maintaining anonymity. Analysis of comments and questions posted on these online forums provide unique insight into conversations that patients may be having outside of the physician's office regarding pain-relief procedures, specifically radiofrequency ablation (RFA).

Materials And Methods: Using the Python Reddit Application Programming Interface Wrapper, we identified and screened Reddit users' posts.

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Background: Artificial intelligence (AI) social chatbots represent a major advancement in merging technology with mental health, offering benefits through natural and emotional communication. Unlike task-oriented chatbots, social chatbots build relationships and provide social support, which can positively impact mental health outcomes like loneliness and social anxiety. However, the specific effects and mechanisms through which these chatbots influence mental health remain underexplored.

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Objective: Dose-response analysis of the effect of each additional contact where family planning (FP) was discussed during antenatal, delivery, postnatal or immunisation visits on the uptake of postpartum family planning (PPFP) within 12 months.

Design: A cohort where pregnant women were enrolled and reinterviewed approximately 12 months postpartum. Life table analyses examined differentials in probabilities of adopting contraception over 12 months postpartum by level of exposure to FP counselling.

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Background: Conversational agents (CAs) are finding increasing application in health and social care, not least due to their growing use in the home. Recent developments in artificial intelligence, machine learning, and natural language processing have enabled a variety of new uses for CAs. One type of CA that has received increasing attention recently is smart speakers.

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