Victoria Rodellar-Biarge

TL;DR: The paper describes the methodology to estimate the biometric signature from the power spectral density of the mucosal wave correlate, which after normalization can be used in pathology detection experiments and possible applications can be found in pathology Detection and grading and in rehabilitation assessment after treatment.

TL;DR: The proposed methodology avails that the use of highly normalized descriptors as the probability distribution of kinematic variables of vowel articulation stability boosts the potential of simple yet powerful classifiers in producing quite acceptable detection results in Parkinson Disease.

TL;DR: It is hypothesized that some of the underlying neurological mechanisms affecting phonation produce observable correlates in vocal fold biomechanics and that these correlates behave differentially in neurological diseases than in organic pathologies.

TL;DR: The conclusions of the research show that several correlates may be reliably established, and that monitoring disease state and progress may rely on some biomechanical correlates informing on jaw and tongue neuromotor residual activity.

TL;DR: A hierarchy of sound processing functionalities at the auditory and perceptual levels on the Auditory Neural pathways which can be translated into bio-inspired speech-processing techniques are examined, their fundamental characteristics being analyzed in relation with current tendencies in cognitive audio processing.