On the design of automatic voice condition analysis systems. Part II: Review of speaker recognition techniques and study on the effects of different variability factors

JA Gómez-García, L Moro-Velázquez… - … Signal Processing and …, 2019 - Elsevier
This is the second of a two-part series devoted to the automatic voice condition analysis of
voice pathologies, being a direct continuation to the paper On the design of automatic voice …

Towards end-to-end acoustic localization using deep learning: From audio signals to source position coordinates

JM Vera-Diaz, D Pizarro, J Macias-Guarasa - Sensors, 2018 - mdpi.com
This paper presents a novel approach for indoor acoustic source localization using
microphone arrays, based on a Convolutional Neural Network (CNN). In the proposed …

Towards the identification of Idiopathic Parkinson's Disease from the speech. New articulatory kinetic biomarkers

JI Godino-Llorente, S Shattuck-Hufnagel, JY Choi… - PloS one, 2017 - journals.plos.org
Although a large amount of acoustic indicators have already been proposed in the literature
to evaluate the hypokinetic dysarthria of people with Parkinson's Disease, the goal of this …

Using x-vectors to automatically detect parkinson's disease from speech

L Moro-Velazquez, J Villalba… - ICASSP 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
The promise of new neuroprotective treatments to stop or slow the advance of Parkinson's
Disease (PD) urges for new biomarkers or detection schemes that can deliver a faster …

Tools and technologies for computer-aided speech and language therapy

O Saz, SC Yin, E Lleida, R Rose, C Vaquero… - Speech …, 2009 - Elsevier
This paper addresses the problem of Computer-Aided Speech and Language Therapy
(CASLT). The goal of the work described in the paper is to develop and evaluate a semi …

Phonetic relevance and phonemic grouping of speech in the automatic detection of Parkinson's Disease

L Moro-Velazquez, JA Gomez-Garcia… - Scientific reports, 2019 - nature.com
Literature documents the impact of Parkinson's Disease (PD) on speech but no study has
analyzed in detail the importance of the distinct phonemic groups for the automatic …

A forced gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing

L Moro-Velazquez, JA Gomez-Garcia… - … Signal Processing and …, 2019 - Elsevier
Literature evidences the existence of hypokinetic dysarthria in parkinsonian patients and,
consequently, the objective characterization of the dysarthric signs associated to the …

Speech signal and facial image processing for obstructive sleep apnea assessment

F Espinoza-Cuadros, R Fernández-Pozo… - … methods in medicine, 2015 - Wiley Online Library
Obstructive sleep apnea (OSA) is a common sleep disorder characterized by recurring
breathing pauses during sleep caused by a blockage of the upper airway (UA). OSA is …

Reversible speaker de-identification using pre-trained transformation functions

C Magarinos, P Lopez-Otero… - Computer Speech & …, 2017 - Elsevier
Speaker de-identification approaches must accomplish three main goals: universality,
naturalness and reversibility. The main drawback of the traditional approach to speaker de …

The Sharvard Corpus: A phonemically-balanced Spanish sentence resource for audiology

V Aubanel, MLG Lecumberri… - International journal of …, 2014 - Taylor & Francis
Objective: The current study describes the collection of a new phonemically-balanced
Spanish sentence resource, known as the Sharvard Corpus. Design: The resource contains …