Abstract
The usability and health of a person's voice has dire impact on the person's quality of life. Pathological issues that may exist on a person's voice often cannot be detected by a regular listener. Medical attention from a professional may be necessary to detect vocal pathologies. Analysis of the patients complaints and a perceptual evaluation performed by a doctor is one of the most common ways to diagnose a vocal condition. This method can be invasive, time consuming and expensive. Features of the voice can be extracted and utilized in a computer environment to make the same diagnosis which may increase the speed and accuracy of the diagnosis and decrease the cost. In this paper, a cloud application which collects vocal data in a database is proposed. With data mining and machine learning methods, a new tool has been developed to detect and diagnose vocal anomalies in patients. The effectiveness of the suggested platform has been demonstrated with a pathological detection and recognition application running in the server.
Translated title of the contribution | Voice cloud platform for medical applications |
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Original language | Turkish |
Title of host publication | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509064946 |
DOIs | |
Publication status | Published - 27 Jun 2017 |
Event | 25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Duration: 15 May 2017 → 18 May 2017 |
Publication series
Name | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
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Conference
Conference | 25th Signal Processing and Communications Applications Conference, SIU 2017 |
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Country/Territory | Turkey |
City | Antalya |
Period | 15/05/17 → 18/05/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.