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

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C. ManfrediAuthors Info & Claims

SAC '08: Proceedings of the 2008 ACM symposium on Applied computing

Pages 1405 - 1409

https://doi.org/10.1145/1363686.1364010

Published: 16 March 2008 Publication History

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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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Cited By

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Ponsiglione AAngelone FSparaco RPiccolo SParrish ACalcagno AFournier Gde Brito Martins ACordella FArienzo ACastella LVitale VAmato FRomano M(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
https://doi.org/10.1007/978-3-031-61625-9_40
Cannataro MGuzzi PTradigo GVeltri PLempel RPerego RSilvestri F(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
https://dl.acm.org/doi/10.5555/1459693.1459722

Index Terms

A web-based system for the collection and analysis of spectra signals for early detection of voice alterations
1. Information systems
  1. World Wide Web
    1. Web interfaces
      1. Browsers

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SAC '08: Proceedings of the 2008 ACM symposium on Applied computing

March 2008

2586 pages

ISBN:9781595937537

DOI:10.1145/1363686

Conference Chairs:
Roger L. Wainwright
University of Tulsa
,
Hisham M. Haddad
Kennesaw State University

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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Published: 16 March 2008

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Ponsiglione AAngelone FSparaco RPiccolo SParrish ACalcagno AFournier Gde Brito Martins ACordella FArienzo ACastella LVitale VAmato FRomano M(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
https://doi.org/10.1007/978-3-031-61625-9_40
Cannataro MGuzzi PTradigo GVeltri PLempel RPerego RSilvestri F(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
https://dl.acm.org/doi/10.5555/1459693.1459722

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Vocal fatigue induced by prolonged oral reading: Analysis and detection

MFCC-GMM based accent recognition system for Telugu speech signals

Automatic voice onset time estimation from reassignment spectra

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Vocal fatigue induced by prolonged oral reading: Analysis and detection

MFCC-GMM based accent recognition system for Telugu speech signals

Automatic voice onset time estimation from reassignment spectra

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