Exploiting nonlinearity of the speech production system for voice disorder assessment by recurrence quantification analysis
VJD Vieira, SC Costa, SLN Correia… - … Journal of Nonlinear …, 2018 - pubs.aip.org
This work summarizes the research related to digital speech signal processing with
recurrence quantification analysis (RQA) applied to voice disorder assessment. The main …
recurrence quantification analysis (RQA) applied to voice disorder assessment. The main …
[PDF][PDF] Recurrence quantification analysis of glottal signal as non linear tool for pathological voice assessment and classification.
M Dahmani, M Guerti - Int. Arab J. Inf. Technol., 2020 - iajit.org
Automatic detection and assessment of Vocal Folds pathologies using signal processing
techniques knows an extensively challenge use in the voice or speech research community …
techniques knows an extensively challenge use in the voice or speech research community …
Reinke's edema diagnosis support system based on voice recordings and machine learning
MC Robustillo, MI Parra… - 2022 International …, 2022 - ieeexplore.ieee.org
Voice pathologies have a direct impact on human communication. One of the most common
voice disorders is Reinke's edema. Speech analysis algorithms applied to voice recordings …
voice disorders is Reinke's edema. Speech analysis algorithms applied to voice recordings …
[PDF][PDF] Classificação de patologias laríngeas por meio de características do espaço de fase reconstruído
PHU Pinho, M Couras, ECS Dantas, SLC Costa… - SBrT2016: Anais …, 2016 - academia.edu
Este artigo trata da classificação entre vozes normais e vozes afetadas por patologias
laríngeas (edema de Reinke e paralisia nas pregas vocais), utilizando informações das …
laríngeas (edema de Reinke e paralisia nas pregas vocais), utilizando informações das …