Speech Analysis as a Tool for Detection and Monitoring of Medical Conditions : A review

Igras-Cybulska, Magdalena; Hemmerling, Daria; Ziółko, Mariusz; Datka, Wojciech; Stogowska, Ewa; Kucharski, Michał; Rzepka, Rafał; Ziółko, Bartosz

doi:10.24425/aoa.2023.146640

Artykuł - szczegóły

Tytuł artykułu

Speech Analysis as a Tool for Detection and Monitoring of Medical Conditions : A review

Autorzy

Igras-Cybulska Magdalena , Hemmerling Daria , Ziółko Mariusz , Datka Wojciech , Stogowska Ewa , Kucharski Michał , Rzepka Rafał , Ziółko Bartosz

Treść / Zawartość

Pełne teksty:

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Identyfikatory

DOI

10.24425/aoa.2023.146640

Warianty tytułu

Języki publikacji

Abstrakty

The goal of this article is to present and compare recent approaches which use speech and voice analysis as biomarkers for screening tests and monitoring of some diseases. The article takes into account metabolic, respiratory, cardiovascular, endocrine, and nervous system disorders. A selection of articles was performed to identify studies that assess voice features quantitatively in selected disorders by acoustic and linguistic voice analysis. Information was extracted from each paper in order to compare various aspects of datasets, speech parameters, methods of applied analysis and obtained results. 110 research papers were reviewed and 47 databases were summarized. Speech analysis is a promising method for early diagnosis of certain disorders. Advanced computer voice analysis with machine learning algorithms combined with the widespread availability of smartphones allows diagnostic analysis to be conducted during the patient’s visit to the doctor or at the patient’s home during a telephone conversation. Speech analysis is a simple, low-cost, non-invasive and easy-toprovide method of medical diagnosis. These are remarkable advantages, but there are also disadvantages. The effectiveness of disease diagnoses varies from 65% up to 99%. For that reason it should be treated as a medical screening test and should be an indication of the need for classic medical tests.

Słowa kluczowe

speech analysis speech features acoustic parameters linguistic analysis voice biomarkers screening test

Wydawca

Instytut Podstawowych Problemów Techniki PAN
Komitet Akustyki PAN
Polskie Towarzystwo Akustyczne

Czasopismo

Archives of Acoustics

Rocznik

2023

Tom

Vol. 48, No. 3

Strony

289--315

Opis fizyczny

Bibliogr. 111 poz., rys., tab., wykr.

Twórcy

autor

Igras-Cybulska Magdalena

Techmo sp. z o.o. Kraków, Poland
AGH University of Science and Technology Kraków, Poland

https://orcid.org/0000-0001-5621-7901

autor

Hemmerling Daria

Techmo sp. z o.o. Kraków, Poland
AGH University of Science and Technology Kraków, Poland

https://orcid.org/0000-0002-2193-7690

autor

Ziółko Mariusz

Techmo sp. z o.o. Kraków, Poland

https://orcid.org/+0000-0001-6260-7850

autor

Datka Wojciech

Medical University of Bialystok Białystok, Poland
Faculty of Medicine, Jagiellonian University Kraków, Poland

autor

Stogowska Ewa

Medical University of Bialystok, Białystok, Poland

autor

Kucharski Michał

Techmo sp. z o.o. Kraków, Poland

autor

Rzepka Rafał

Hokkaido University Kita Ward, Sapporo, Hokkaido, Japan

autor

Ziółko Bartosz

Techmo sp. z o.o. Kraków, Poland
Hokkaido University Kita Ward, Sapporo, Hokkaido, Japan

https://orcid.org/0000-0001-5485-8879

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023). (PL)

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-776d0b50-e662-46c0-b754-1f9a586862a1