LPC Spectrum First Peak Analysis for Voice Pathology Detection

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Abstract

The detection of voice pathologies using speech processing techniques can be a useful contribution for the diagnose of larynx diseases. The main objective of this work was to inspect the spectral envelope of the voice signal searching for information that allows voice pathology detection. The frequency and bandwidth of the first peak from the spectral envelope obtained from Linear Predictive Coefficients (LPC) of 30th order was found to be a valuable feature being used for voice pathology detection. In the corpus considered in this work we obtained a 100% discrimination between healthy and unhealthy subjects and a 87% discrimination between nodules and Reinke’s edema.
Original languageEnglish
Title of host publicationProceedings of HCist'2013
Pages-
Volume9
Publication statusPublished - 2013
EventHCIST'2013 - INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES -
Duration: 1 Jan 2013 → …

Conference

ConferenceHCIST'2013 - INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES
Period1/01/13 → …

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