Universidad Politécnica de Madrid-ko ikertzaileekin lankidetzan egindako argitalpenak (11)

2020

  1. An ICA-based method for stress classification from voice samples

    Neural Computing and Applications, Vol. 32, Núm. 24, pp. 17887-17897

  2. MonParloc: A speech-based system for Parkinson’s disease analysis and monitoring

    IEEE Access, Vol. 8, pp. 188243-188255

2019

  1. 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

  1. 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

  2. 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

  1. MoKey-A motion based keyboard interpreter

    Proceedings of the International Symposium on Consumer Electronics, ISCE

  2. 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

  1. Principal component analysis of spectral perturbation parameters for voice pathology detection

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  2. Spectral perturbation parameters for voice pathology detection

    ISSCS 2005: International Symposium on Signals, Circuits and Systems - Proceedings

  3. Using biomechanical parameter estimates in voice pathology detection

    4th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2005

  4. 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)