Robust and complex approach of pathological speech signal analysis

Mekyska, Jiří; Janoušová, Eva; Gómez-Vilda, P.; Smékal, Zdeněk; Rektorová, Irena; Eliasova, Ilona; Košťálová, Milena; Mračková, Martina; Alonso-Hernandez, Jesus B.; Faundez-Zanuy, Marcos; Ipiña, Karmele López de

doi:10.1016/j.neucom.2015.02.085

Cited by 112 publications

(95 citation statements)

References 71 publications

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“…Most of them are well known in the field of speech signal processing, and thus for each parameter a reference is provided where a deeper description and further information can be found. All features are calculated using a software tool developed in our research group using Praat (Boersma and Weenink, 2017) and MATLAB (MATLAB, 2017) (López-de-Ipiña et al, 2017;Mekyska et al, 2015).…”

Section: Protocols and Algorithmsmentioning

confidence: 99%

<em>ALZUMERIC</em>: A decision support system for diagnosis and monitoring of cognitive impairment

Lizarduy

Salomón

Gómez-Vilda

et al. 2017

loquens

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Internet of things and smart cities are becoming a reality. Nowadays, more and more devices are interconnected and in order to deal with this new situation, data processing speeds are increasing to keep the pace. Smart devices like tablets and smartphones are accessible to a wide part of society in developed countries, and Internet connections for data exchange make it possible to handle large volumes of information in less time. This new reality has opened up the possibility of developing client-server architectures focused on clinical diagnosis in real time and at a very low cost. This paper illustrates the design and implementation of the ALZUMERIC system that is oriented to the diagnosis of Alzheimer’s disease (AD). It is a platform where the medical specialist can gather voice samples through non-invasive methods from patients with and without mild cognitive impairment (MCI), and the system automatically parameterizes the input signal to make a diagnose proposal. Although this type of impairment produces a cognitive loss, it is not severe enough to interfere with daily life. The present approach is based on the description of speech pathologies with regard to the following profiles: phonation, articulation, speech quality, analysis of the emotional response, language perception, and complex dynamics of the system. Privacy, confidentiality and information security have also been taken into consideration, as well as possible threats that the system could suffer, so this first prototype of services offered by ALZUMERIC has been targeted to a predetermined number of medical specialists.

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Section: Protocols and Algorithmsmentioning

confidence: 99%

<em>ALZUMERIC</em>: A decision support system for diagnosis and monitoring of cognitive impairment

Lizarduy

Salomón

Gómez-Vilda

et al. 2017

loquens

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“…This approach focuses on testing whether there is a common mean of speech features from several groups. Besides the ANOVA F-test giving the ratio of variances between and within groups [16], the hypothesis probability resulting from the Wilcoxon test [25] or the Mann-Whitney U test [26] comparing whether two samples come from identical distributions with equal medians or they do not have equal medians, the Ansari-Bradley hypothesis test [27] is used to specify whether two distributions are the same or they differ in their variances. For a chosen significance level the resulting logical value "0" denotes that the null hypothesis cannot be rejected and the value "1" indicates that it can be rejected.…”

Section: B Anova-based Classification Of the Speech Signalmentioning

confidence: 99%

Two Methods of Automatic Evaluation of Speech Signal Enhancement Recorded in the Open-Air MRI Environment

Přibil

Přibilová²,

Frollo

2017

Measurement Science Review

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The paper focuses on two methods of evaluation of successfulness of speech signal enhancement recorded in the open-air magnetic resonance imager during phonation for the 3D human vocal tract modeling. The first approach enables to obtain a comparison based on statistical analysis by ANOVA and hypothesis tests. The second method is based on classification by Gaussian mixture models (GMM). The performed experiments have confirmed that the proposed ANOVA and GMM classifiers for automatic evaluation of the speech quality are functional and produce fully comparable results with the standard evaluation based on the listening test method.

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“…PD-induced neuromotor degeneration speech monitoring has been classicaly based on phonation (fundamental frequency, energy, jitter, shimmer, noise-harmonic ratio, biomechanical parameters (Gómez et al, 2017a;Mekyska et al, 2015;Orozco et al, 2015). Speech articulation is also a possible target to explore.…”

Section: Kinematic Evaluation Of Pdmentioning

confidence: 99%

“…As it affects most neuromotor paths, it also interferes with speech capability in different ways, which have been extensively well documented (Mekyska et al, 2015). Rough and asthenic phonation, monotonicity, mono-loudness, freezing, velo-pharyngeal incompetence, and low tone are some of the observed alterations of speech coined with the term hypokinetic dysarthria (Sapir, 2014).…”

Section: Introductionmentioning

confidence: 99%

Monitoring Parkinson Disease from speech articulation kinematics

Gómez-Vilda

Mekyska

Gómez

et al. 2017

loquens

Self Cite

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Parkinson Disease (PD) is a neuromotor illness affecting general movements of different muscles, those implied in speech production being among them. The relevance of speech in monitoring illness progression has been documented in these last two decades. Most of the studies have concentrated in dysarthria and dysphonia induced by the syndrome. The present work is devoted to explore how PD affects the dynamic behavior of the speech neuromotor biomechanics (neuromechanics) involved in deficient articulation (dysarthria), in contrast to classical measurements based on static features as extreme and central vowel triangle positions. A statistical distribution of the kinematic velocity of the lower jaw and tongue is introduced, which presents interesting properties regarding pattern recognition and classification. This function may be used to establish distances between different articulation profiles in terms of information theory. Results show that these distances are correlated with a set of tests currently used by neurologists in PD progress evaluation, and could be used in elaborating new speech testing protocols.Keywords: neuromotor deterioration; Parkinson Disease speech; hypokinetic dysarthria; speech articulation modeling; speech neuromechanics. RESUMEN:Monitorización de la enfermedad de Parkinson a partir de la cinemática de la articulación del habla. -La enfermedad de Parkinson (EP) es un trastorno del sistema neuromotor que afecta a todo tipo de movimientos regulados por el sistema muscular humano, entre ellos los que controlan la producción del habla. La importancia del habla en la monitorización del progreso de la EP se ha estudiado ampliamente durante las últimas dos décadas. La mayoría de los estudios se han concentrado en describir y modelar el comportamiento de la fonación (disfonía) y de la articulación (disartria), en relación con el síndrome de la EP. El presente trabajo se centra en explorar la forma en la que la EP afecta al comportamiento dinámico de la biomecánica neuromotora relacionada con la disartria típica mostrada por este tipo de pacientes, a diferencia de las mediciones clásicamente utilizadas hasta el momento, que se basan en las posiciones extremas y centrales del triángulo vocálico. Se propone, para ello, una nueva medida basada en la distribución estadística de la cinemática del sistema mandibular y lingual, que presenta interesantes propiedades de cara al reconocimiento de patrones utilizado en la clasificación de los rasgos disártricos del paciente. Esta medida puede emplearse para establecer las distancias entre las distintas articulaciones en términos de la teoría de información. Los resultados del estudio presentado muestran que dichas distancias se hallan sustancialmente correlacionadas con ciertas pruebas utilizadas habitualmente por los neurólogos para evaluar el progreso de la EP. La distancia cinemática propuesta puede servir para elaborar nuevos protocolos de realización de pruebas para el seguimiento de la EP.Palabras clave: deterioro neuromotor; el habla del...

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Robust and complex approach of pathological speech signal analysis

Cited by 112 publications

References 71 publications

<em>ALZUMERIC</em>: A decision support system for diagnosis and monitoring of cognitive impairment

<em>ALZUMERIC</em>: A decision support system for diagnosis and monitoring of cognitive impairment

Two Methods of Automatic Evaluation of Speech Signal Enhancement Recorded in the Open-Air MRI Environment

Monitoring Parkinson Disease from speech articulation kinematics

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