T. Villa-Cañas

Automatic assessment of voice signals according to the GRBAS scale using modulation spectra, Mel frequency Cepstral Coefficients and Noise parameters

J. D. Arias-Londoño, J. F. Vargas-Bonilla, T. Villa-Canas, 2013, Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013.

Time-frequency approach in continuous speech for detection of Parkinson's disease

J. R. Orozco-Arroyave, J. D. Arias-Londoño, J. F. Vargas-Bonilla, 2015, 2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA).

Low-frequency components analysis in running speech for the automatic detection of parkinson's disease

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2015, INTERSPEECH.

Modulation spectra for automatic detection of Parkinson's disease

J. R. Orozco-Arroyave, J. D. Arias-Londoño, J. F. Vargas-Bonilla, 2014, 2014 XIX Symposium on Image, Signal Processing and Artificial Vision.

Automatic detection of laryngeal pathologies using cepstral analysis in Mel and Bark scales

J. D. Arias-Londoño, J. F. Vargas-Bonilla, T. Villa-Canas, 2012, 2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA).