| --- |
| license: other |
| pretty_name: UGR-MINDVOICE EEG and Audio Dataset |
| size_categories: |
| - 10GB<n<100GB |
| tags: |
| - neuroscience |
| - electroencephalography |
| - brain-computer-interface |
| - speech |
| - imagined-speech |
| - audio |
| - bids |
| - spanish |
| --- |
| |
| # UGR-MINDVOICE |
|
|
| This is an **unofficial mirror** of the public UGR-MINDVOICE OSF project. It is |
| not affiliated with or endorsed by the dataset contributors, their |
| institutions, OSF, or the authors of the benchmark paper. |
|
|
| ## Source and provenance |
|
|
| - Original dataset: [OSF project `6sh5d`](https://osf.io/6sh5d/) |
| - Source snapshot: retrieved September 3, 2026; OSF project last modified December 19, 2025 |
| - Dataset article: [Cortina et al., *Computer Speech & Language* 100 (2026), 101964](https://doi.org/10.1016/j.csl.2026.101964) |
| - Benchmark paper: [Khanday et al., arXiv:2607.27268v1](https://arxiv.org/abs/2607.27268) |
| - Official code: [`owaismujtaba/mind-voice`](https://github.com/owaismujtaba/mind-voice) |
| - Mirror-generated checksums: [`MIRROR_SHA256SUMS.txt`](./MIRROR_SHA256SUMS.txt) |
|
|
| The 533 source files are mirrored without modifying their contents or source |
| directory layout. This dataset card and the checksum manifest are the only |
| mirror-added files. The snapshot totals 22,025,659,310 bytes (20.51 GiB). |
|
|
| ## Dataset summary |
|
|
| UGR-MINDVOICE is a multimodal corpus of 64-channel EEG sampled at 1,000 Hz and |
| synchronized audio from 15 native Iberian Spanish speakers across 22 sessions. |
| Each session includes overt and covert speech in alternating mini-blocks. |
| Stimuli cover all Spanish phonemes through 95 consonant-vowel syllables, 60 |
| words balanced across six semantic categories and lexical frequencies, and 30 |
| pseudowords. Overt productions include synchronized acoustic recordings. |
|
|
| The `Data/` directory is organized according to BIDS and contains the |
| participant and recording data. `Materials/` contains the stimuli and |
| experiment files, while `Analyses and Results/` contains analysis |
| documentation. |
|
|
| ## Human-participant data |
|
|
| These are human EEG and voice recordings. Users are responsible for applicable |
| institutional, ethical, and legal requirements and must not attempt to identify |
| participants. |
|
|
| ## License |
|
|
| **No dataset license is declared in the OSF project metadata or supplied data |
| files.** The CC BY-NC-SA 4.0 license on the arXiv benchmark and the CC BY 4.0 |
| license on the dataset article apply to those publications; they do not by |
| themselves grant rights in the dataset. This mirror makes no additional reuse |
| grant. Contact the dataset authors if permission is required for your use. |
|
|
| ## Citation |
|
|
| > Vales Cortina, I., Khanday, O. M., Ouellet, M., Pérez-Córdoba, J. L., |
| > Rodríguez-San Esteban, P., Miccoli, L., Galdón, A., Olivares Granados, G., & |
| > Gonzalez-Lopez, J. A. (2026). UGR-MINDVOICE: A multimodal EEG-audio dataset |
| > for overt and covert Iberian Spanish speech production. *Computer Speech & |
| > Language, 100*, 101964. https://doi.org/10.1016/j.csl.2026.101964 |
|
|
| ```bibtex |
| @article{cortina2026ugrmindvoice, |
| title = {{UGR-MINDVOICE}: A Multimodal EEG-Audio Dataset for Overt and Covert Iberian Spanish Speech Production}, |
| author = {Vales Cortina, Ibon and Khanday, Owais Mujtaba and Ouellet, Marc and P\'{e}rez-C\'{o}rdoba, Jos\'{e} L. and Rodr\'{i}guez-San Esteban, Pablo and Miccoli, Laura and Gald\'{o}n, Alberto and Olivares Granados, Gonzalo and Gonzalez-Lopez, Jose A.}, |
| journal = {Computer Speech \& Language}, |
| volume = {100}, |
| pages = {101964}, |
| year = {2026}, |
| doi = {10.1016/j.csl.2026.101964} |
| } |
| ``` |
|
|
