Repository of speech features from speakers with and without Parkinson's Disease. Neurovoz - Rasta PLP - V2 - Scientific Reports Publication: Phonetic relevance and phonemic grouping of speech in the automatic detection of Parkinson's Disease

This repository contains the Rasta-PLP features of six different speech recordings (sentences) from Neurovoz corpus (47 parkinsonian and 32 control speakers whose mother tongue is Spanish Castillian.)
Number of PLP coefficients: [6, 8, 10, 12, 14, 16, 18, 20].
Delta coefficients: Yes
Delta Delta coefficients: Yes
Sampling rate: 16 kHz
Frame size: 15 ms
Frame overlapping: 50%

This subset of the Neurovoz corpus was recorded between 2015 and 2017 by Universidad Politécncia de Madrid and Hospital General Universitario Gregorio Marañón.

This version includes the same files as the previous version and information about UPDRS, H&Y, years since diagnosis and age of each participant.

The sentences were:

BARBAS: "Cuando las barbas de tu vecino veas pelar, pon las tuyas a remojar"

CALLE: "De la calle vendrá quien de tu casa te echará"

DIABLO: " Cuando el diablo no sabe qué hacer, con el rabo mata moscas "

PETACA BLANCA: " La petaca blanca es mía"

PIDIO: "No pidas a quien pidió ni sirvas a quien sirvió"

SOMBRA: " El que a buen árbol se arrima, buena sombra le cobija "

How to cite:
[1] Moro-Velazquez, L., Gomez-Garcia, J. A., Godino-Llorente, J. I., Grandas-Perez, F., Shattuck-Hufnagel, S. Yagüe-Jimenez, V., and Dehak, N. (2019). Phonetic relevance and phonemic grouping of speech in the automatic detection of Parkinson’s disease.Scientific reports 9, 19066.

[2] Moro-Velazquez, L., Gomez-Garcia, J. A., Godino-Llorente, J. I., Villalba, J., Rusz, J., Shattuck-Hufnagel, S. and Dehak, N. (2019). A forced Gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing. Biomedical Signal Processing and Control, 48, 205-220.

BibTeX:

@article{moro2019phonetic,
  title={Phonetic relevance and phonemic grouping of speech in the automatic detection of Parkinson's Disease},
  author={Moro-Velazquez, Laureano and Gomez-Garcia, Jorge A. and Godino-Llorente, Juan I. and Grandas-Perez, Francisco and Shattuck-Hufnagel, Stefanie and Yague-Jimenez, Virginia and Dehak, Najim},
  journal={Scientific Reports},
  volume={9},
  pages={19066},
  year={2019},
  publisher={Nature Research Publishing}
}

@article{moro2019forced,
  title={A forced Gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing},
  author={Moro-Velazquez, Laureano and Gomez-Garcia, Jorge Andres and Godino-Llorente, Juan Ignacio and Dehak, Najim},
  journal={Biomedical Signal Processing and Control},
  pages={205--220},
  volume={48},
  year={2019},
  publisher={Elsevier}
}