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A web-based system for the collection and analysis of spectra signals for early detection of voice alterations

Published: 16 March 2008 Publication History

Abstract

Voice is the result of the coordination of the whole pneumophonoarticulatory apparatus. The analysis of the voice allows the identification of the diseases of the vocal apparatus and currently is carried out from an expert doctor through methods based on the auditory analysis. This paper presents a web-based system for the acquisition and automatic analysis of vocal signals. Vocal signals are submitted by the users through a simple web-interface and are analyzed in real-time by using state-of-the art signal processing techniques, providing first-level information on possible voice alterations. The system offers different analysis functions to the doctors that may analyze suspected cases in detail. The system is currently being tested in the otorhinolaryngologist setting to carry out mass prevention via screening at a regional scale.

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A. Ricci Maccarini, D. Casolino, O. Schindler, II Problema delle Unita' Di Misura Nella Valutazione Della Voce, U.O.A. D. U. Audiologia - Foniatria, Azienda Ospedaliera S. Giovanni Battista Università di Torino http://www.aooi.it/unmis.pdf.
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Cited By

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  • (2024)Enabling COVID-19 Detection from Multiple Audio Recordings: A Preliminary Comparison Between Cough, Breath, and Speech Signals9th European Medical and Biological Engineering Conference10.1007/978-3-031-61625-9_40(373-383)Online publication date: 1-Jun-2024
  • (2008)Scalable biomedical and bioinformatics applicationsProceedings of the 3rd international conference on Scalable information systems10.5555/1459693.1459722(1-7)Online publication date: 4-Jun-2008

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  1. A web-based system for the collection and analysis of spectra signals for early detection of voice alterations

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    cover image ACM Conferences
    SAC '08: Proceedings of the 2008 ACM symposium on Applied computing
    March 2008
    2586 pages
    ISBN:9781595937537
    DOI:10.1145/1363686
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 16 March 2008

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    Author Tags

    1. otorhinolaryngology
    2. voice analysis

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    SAC '08
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    SAC '08: The 2008 ACM Symposium on Applied Computing
    March 16 - 20, 2008
    Fortaleza, Ceara, Brazil

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    • (2024)Enabling COVID-19 Detection from Multiple Audio Recordings: A Preliminary Comparison Between Cough, Breath, and Speech Signals9th European Medical and Biological Engineering Conference10.1007/978-3-031-61625-9_40(373-383)Online publication date: 1-Jun-2024
    • (2008)Scalable biomedical and bioinformatics applicationsProceedings of the 3rd international conference on Scalable information systems10.5555/1459693.1459722(1-7)Online publication date: 4-Jun-2008

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