NeuroVoz: a Castillian Spanish corpus of parkinsonian speech

NeuroVoz: a Castillian Spanish corpus of parkinsonian speech

The NeuroVoz dataset emerges as a pioneering resource in the field of computational linguistics and biomedical research, specifically designed to enhance the diagnosis and understanding of Parkinson’s Disease (PD) through speech analysis. This dataset is distinguished as the first of its kind to be made publicly available in Castilian Spanish, addressing a critical gap in the availability of linguistic and dialectical diversity within PD research.

Compiled from a cohort of 112 participants, including 54 individuals diagnosed with PD and 58 healthy controls, the NeuroVoz dataset offers a rich compilation of speech recordings. All PD participants were recorded under medication (ON state), ensuring consistency and reliability in the speech samples collected. The dataset is meticulously curated to include a variety of speech tasks—ranging from sustained vowel phonations and diadochokinetic (DDK) tests to 16 structured listen-and-repeat utterances and spontaneous monologues. The inclusion of both manually transcribed listen-and-repeat tasks and Whisper-automated transcriptions for monologues underscores our commitment to data accuracy and usability.

Encompassing 2,977 audio files, the NeuroVoz dataset supports research on PD-affected speech. The dataset’s structure and composition facilitate analysis of phonatory, articulatory, and prosodic changes.

In contributing to the body of knowledge with the NeuroVoz dataset, we invite the scientific community to engage with this dataset, explore the specific speech characteristics of PD in Castilian Spanish speakers, and advance the field of PD diagnosis through innovative speech analysis techniques.

🔗 Read our paper: Scientific Data 📂 Access the dataset: NeuroVoz v3 on Zenodo (access request) 💻 Github Repository: NeuroVoz on Github

Dataset licence: CC BY-NC-ND 4.0. The code repository is released under MIT.