G. Tradigo, P. Vizza, P. Lambardi, P. Guzzi, A. Quattrone, P. Veltri
{"title":"A Voice-Aware System for Vocal Wellness","authors":"G. Tradigo, P. Vizza, P. Lambardi, P. Guzzi, A. Quattrone, P. Veltri","doi":"10.1145/3233547.3233729","DOIUrl":null,"url":null,"abstract":"Phonemic alterations can indicate possible pathologies with poten- tially serious repercussions both from a psychological than a social point of view. Nowadays, the level of population awareness about this issues is rather low and mild dysfunctions are neglected. The main goal of this work is to show the design and imple- mentation of an innovative voice-awareness system able to train and monitor the voice apparatus for any individual. The system supports users in: (i) monitoring voice to avoid overload of the phonatory apparatus; (ii) giving indications to prevent upset or fatigue; (iii) analyzing vocal signals to identify possible pathologies; (iv) monitoring voice during the during rehabilitation phase in pre- and post-surgical treatments. The system has been implemented with IBM Watson services and it is designed for a wide range of users.","PeriodicalId":131906,"journal":{"name":"Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3233547.3233729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Phonemic alterations can indicate possible pathologies with poten- tially serious repercussions both from a psychological than a social point of view. Nowadays, the level of population awareness about this issues is rather low and mild dysfunctions are neglected. The main goal of this work is to show the design and imple- mentation of an innovative voice-awareness system able to train and monitor the voice apparatus for any individual. The system supports users in: (i) monitoring voice to avoid overload of the phonatory apparatus; (ii) giving indications to prevent upset or fatigue; (iii) analyzing vocal signals to identify possible pathologies; (iv) monitoring voice during the during rehabilitation phase in pre- and post-surgical treatments. The system has been implemented with IBM Watson services and it is designed for a wide range of users.