A Voice-Aware System for Vocal Wellness

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.

[1]  B. Barsties,et al.  Lax Vox as a Voice Training Program for Teachers: A Pilot Study. , 2017, Journal of voice : official journal of the Voice Foundation.

[2]  Charles B. Corbin,et al.  Physical Activity for Everyone: What Every Physical Educator Should Know about Promoting Lifelong Physical Activity , 2002 .

[3]  Giuseppe Tradigo,et al.  A system for ubiquitous distributed acquisition of voice alteration samples through a mobile application , 2014, BCB.

[4]  Giuseppe Tradigo,et al.  On the Analysis of Diseases and Their Related Geographical Data , 2017, IEEE Journal of Biomedical and Health Informatics.

[5]  Susana Vaz-Freitas,et al.  Prevalence of Voice Disorders in Singers: Systematic Review and Meta-Analysis. , 2017, Journal of voice : official journal of the Voice Foundation.

[6]  Richard Teck Kee Siau,et al.  Is OperaVOX a clinically useful tool for the assessment of voice in a general ENT clinic? , 2017, BMC Ear, Nose and Throat Disorders.

[7]  G. Tradigo,et al.  Geomedica: managing and querying clinical data distributions on geographical database systems , 2010, ICCS.

[8]  Giuseppe Tradigo,et al.  Signal Analysis for Voice Evaluation in Parkinson’s Disease , 2017, 2017 IEEE International Conference on Healthcare Informatics (ICHI).

[9]  Giuseppe Tradigo,et al.  Voice signal features analysis and classification: looking for new diseases related parameters , 2015, BCB.

[10]  Kenichiro Otani,et al.  Three Simultaneous Cases of Spontaneous Pneumomediastinum With Epidural Pneumatosis During Vocal Training. , 2017, Journal of voice : official journal of the Voice Foundation.

[11]  J. Etnier.  Psychology of Physical Activity: Determinants, Well-being, and Interventions , 2001 .

[12]  Ryszard Tadeusiewicz,et al.  Acoustic analysis assessment in speech pathology detection , 2015, Int. J. Appl. Math. Comput. Sci..

[13]  Sten Ternström,et al.  Perceptual and Acoustic Analyses of Good Voice Quality in Male Radio Performers. , 2017, Journal of voice : official journal of the Voice Foundation.

[14]  Yuvraj Sharma,et al.  Voice Parameter Analysis for the disease detection , 2014 .

[15]  Giuseppe Tradigo,et al.  Vocal signal analysis in patients affected by Multiple Sclerosis , 2017, ICCS.

[16]  Giuseppe Tradigo,et al.  A framework for the atrial fibrillation prediction in electrophysiological studies , 2015, Comput. Methods Programs Biomed..

[17]  Mario Cannataro,et al.  Early detection of voice diseases via a web-based system , 2007, MAVEBA.

[18]  Elizabeth Grillo,et al.  Vocal exercise may attenuate acute vocal fold inflammation. , 2012, Journal of voice : official journal of the Voice Foundation.

[19]  Lyn S Turkstra,et al.  Vocal Control: Is It Susceptible to the Negative Effects of Self-Regulatory Depletion? , 2016, Journal of voice : official journal of the Voice Foundation.

[20]  Mario Cannataro,et al.  VOTA - A Vocal Tract and Training Analysis Tool , 2018, 2018 IEEE International Conference on Healthcare Informatics (ICHI).

[21]  Robert T Sataloff,et al.  Voice therapy for the professional voice. , 2007, Otolaryngologic clinics of North America.

[22]  Adam M. Klein,et al.  Coprevalence of anxiety and depression with spasmodic dysphonia: a case-control study. , 2012, Journal of voice : official journal of the Voice Foundation.

[23]  Pierangelo Veltri.  Management and Analysis of Biological and Clinical Data: How Computer Science May Support Biomedical and Clinical Research , 2015 .

[24]  Lionel Fontan,et al.  Vocal Problems in Sports and Fitness Instructors: A Study of Prevalence, Risk Factors, and Need for Prevention in France. , 2017, Journal of voice : official journal of the Voice Foundation.

[25]  M. Cannataro,et al.  A novel portable device for pathological voice analysis , 2009, 2009 IEEE International Workshop on Medical Measurements and Applications.

[26]  Norimar Hernandes Dias,et al.  Voice Disorders: Etiology and Diagnosis. , 2016, Journal of voice : official journal of the Voice Foundation.