NeuroVoz: a Castillian Spanish corpus of parkinsonian speech

The screening of Parkinson's Disease (PD) through speech is hindered by a notable lack of publicly available datasets in different languages. This fact limits the reproducibility and further exploration of existing research. To address this gap, this manuscript presents the NeuroVoz corpus consisting of 112 native Castilian-Spanish speakers, including 58 healthy controls and 54 individuals with PD, all recorded in ON state. The corpus showcases a diverse array of speech tasks: sustained vowels; diadochokinetic tests; 16 Listen-and-Repeat utterances; and spontaneous monologues. The dataset is also complemented with subjective assessments of voice quality performed by an expert according to the GRBAS scale (Grade/Roughness/Breathiness/Asthenia/Strain), as well as annotations with a thorough examination of phonation quality, intensity, speed, resonance, intelligibility, and prosody. The corpus offers a substantial resource for the exploration of the impact of PD on speech. This data set has already supported several studies, achieving a benchmark accuracy of 89% for the screening of PD. Despite these advances, the broader challenge of conducting a language-agnostic, cross-corpora analysis of Parkinsonian speech patterns remains open.

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Publication Details

Journal
Scientific Data
Published
2024-12-18
DOI
https://doi.org/10.1038/s41597-024-04186-z
Citations
18
Primary Topic
Voice and Speech Disorders
Type
article
Field-Weighted Citation Impact
5.88

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article

NeuroVoz: a Castillian Spanish corpus of parkinsonian speech

Francisco Grandas-Pérez, Jorge A. Gómez-García, Alejandro Guerrero-López, Julián D. Arias-Londoño et al.
18 citations
Scientific Data
Voice and Speech Disorders
5.88
article

NeuroVoz: a Castillian Spanish corpus of parkinsonian speech

Francisco Grandas-Pérez, Jorge A. Gómez-García, Alejandro Guerrero-López, Julián D. Arias-Londoño, Janaína Mendes-Laureano, Juan Ignacio Godino-Llorente, Elisa Luque‐Buzo
article en
18 citations

Abstract

The screening of Parkinson's Disease (PD) through speech is hindered by a notable lack of publicly available datasets in different languages. This fact limits the reproducibility and further exploration of existing research. To address this gap, this manuscript presents the NeuroVoz corpus consisting of 112 native Castilian-Spanish speakers, including 58 healthy controls and 54 individuals with PD, all recorded in ON state. The corpus showcases a diverse array of speech tasks: sustained vowels; diadochokinetic tests; 16 Listen-and-Repeat utterances; and spontaneous monologues. The dataset is also complemented with subjective assessments of voice quality performed by an expert according to the GRBAS scale (Grade/Roughness/Breathiness/Asthenia/Strain), as well as annotations with a thorough examination of phonation quality, intensity, speed, resonance, intelligibility, and prosody. The corpus offers a substantial resource for the exploration of the impact of PD on speech. This data set has already supported several studies, achieving a benchmark accuracy of 89% for the screening of PD. Despite these advances, the broader challenge of conducting a language-agnostic, cross-corpora analysis of Parkinsonian speech patterns remains open.

Scientific DataVol. 11(1)
Hospital General Universitario Gregorio Marañón (ES), Universidad Politécnica de Madrid (ES)
Comunidad de Madrid, European Commission, Ministerio de Economía y Competitividad, Consejería de Educación, Juventud y Deporte, Comunidad de Madrid, Agencia Estatal de Investigación
Openalex Percentile: Top 3%
Voice and Speech Disorders
5.88
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