Florencio Carlos
Lázaro Hernando
Profesor Titular Universidad
Universidad Politécnica de Madrid
Madrid, EspañaPublicacións en colaboración con investigadores/as de Universidad Politécnica de Madrid (11)
2020
-
An ICA-based method for stress classification from voice samples
Neural Computing and Applications, Vol. 32, Núm. 24, pp. 17887-17897
-
MonParloc: A speech-based system for Parkinson’s disease analysis and monitoring
IEEE Access, Vol. 8, pp. 188243-188255
2019
-
Assessing an Application of Spontaneous Stressed Speech - Emotions Portal
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016
-
Assessing a set of glottal features from vocal fold biomechanics
Smart Innovation, Systems and Technologies (Springer Science and Business Media Deutschland GmbH), pp. 209-217
-
Phonation biomechanics in quantifying parkinson’s disease symptom severity
Smart Innovation, Systems and Technologies (Springer Science and Business Media Deutschland GmbH), pp. 93-102
2015
-
MoKey-A motion based keyboard interpreter
Proceedings of the International Symposium on Consumer Electronics, ISCE
-
Monitoring Parkinson's Disease from phonation improvement by Log Likelihood Ratios
IWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, Proceedings
2005
-
Principal component analysis of spectral perturbation parameters for voice pathology detection
Proceedings - IEEE Symposium on Computer-Based Medical Systems
-
Spectral perturbation parameters for voice pathology detection
ISSCS 2005: International Symposium on Signals, Circuits and Systems - Proceedings
-
Using biomechanical parameter estimates in voice pathology detection
4th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2005
-
Voice pathology detection by vocal cord biomechanical parameter estimation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)