{"id":133,"date":"2024-01-22T13:36:45","date_gmt":"2024-01-22T13:36:45","guid":{"rendered":"https:\/\/inets.inf.unibz.it\/?page_id=133"},"modified":"2024-06-25T09:29:34","modified_gmt":"2024-06-25T09:29:34","slug":"community-oriented-wearable-computing-systems-common-wears","status":"publish","type":"page","link":"https:\/\/inets.inf.unibz.it\/?page_id=133","title":{"rendered":"Community oriented wearable computing systems (COMMON-WEARS)"},"content":{"rendered":"\n
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Community oriented wearable computing systems (COMMON-WEARS)<\/h2>\n\n\n\n

Overview:<\/strong><\/p>\n\n\n\n

In this project, we will develop a speech recogniser to improve well-being and communication in subjects who are frail due to laryngeal diseases. We will employ innovative artificial intelligence techniques to recognise the speech of a sample of subjects for whom current technologies are ineffective. This phase involves the collection of suitable voice samples, their characterisation, and the development of a basic machine learning model that recognises voices lacking regular harmonic structure. Recognition of pathological voices will give fragile individuals more inclusive access to a whole range of systems that have achieved ‘pervasive’ deployment in the most diverse application domains where voice is recognised and transformed for control, actuation and communication.<\/p>\n\n\n\n

Website: https:\/\/common-wears.github.io\/2022\/<\/a><\/p>\n\n\n\n

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Outputs:<\/strong><\/p>\n\n\n\n

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Useful Links<\/span><\/sub><\/p>\n\n\n