Medical Speech Processing for Diagnosis and Monitoring

  • In recent years, speech processing for medical applications got significant traction. While pioneering work in the 1990ies focused on processing sustained vowels or isolated utterances, work in the 2000s already showed, that speech recognition systems, prosodic analysis and natural language processing be used to assess a large variety of speech pathologies.Here, we give an overview of how to classify selected speech pathologies including stuttering, language development, speech intelligibility after surgery, dementia and Alzheimers, depression and state-of-mind. While each of those poses a rather well-defined problem in a lab setting, we discuss the issues when integrating such methods in a clinical workflow such as diagnosis or monitoring. Starting from the question if such detectors can be used for general screening or rather as a specialist's tool, we explore the legal and privacy-related implications: patient-doctor conversations, working with children or demented seniors, bias towards examiner or patient, on-device vs. cloudIn recent years, speech processing for medical applications got significant traction. While pioneering work in the 1990ies focused on processing sustained vowels or isolated utterances, work in the 2000s already showed, that speech recognition systems, prosodic analysis and natural language processing be used to assess a large variety of speech pathologies.Here, we give an overview of how to classify selected speech pathologies including stuttering, language development, speech intelligibility after surgery, dementia and Alzheimers, depression and state-of-mind. While each of those poses a rather well-defined problem in a lab setting, we discuss the issues when integrating such methods in a clinical workflow such as diagnosis or monitoring. Starting from the question if such detectors can be used for general screening or rather as a specialist's tool, we explore the legal and privacy-related implications: patient-doctor conversations, working with children or demented seniors, bias towards examiner or patient, on-device vs. cloud processing.We conclude with a set of open questions that should be addressed to help bringing all this research from the lab to routine clinical use.show moreshow less

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Metadaten
Author:Korbinian Riedhammer, Ilja Baumann, Sebastian P. BayerlORCiD, Tobias Bocklet, Franziska Braun, Dominik Wagner’
Subtitle (English):Clinical Use Cases
Document Type:conference proceeding (article)
Language:English
Reviewed:Begutachtet/Reviewed
Contributing Corporation:Deutsche Gesellschaft für Akustik
Release Date:2024/07/05
Pagenumber:4
First Page:1417
Last Page:1420
Konferenzangabe:Fortschritte der Akustik - DAGA 2023
institutes:Zentrum für Künstliche Intelligenz (KIZ)
Licence (German):Keine Lizenz - Deutsches Urheberrecht gilt
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