Articulatory features of plosive consonants for early detection of Parkinson's disease

These datasets contain temporal and spectral features extracted from the Voice Onset Time (VOT) segments of /p/, /t/ and /k/ syllables for a audio database composed of 27 individuals diagnosed with PD and 27 healthy controls. Data are presented both in CSV and Excel formats.

These datasets have been created and used in a full computer-aided diagnosis system. All information about the feature extraction process is presented in:

David Montaña, Yolanda Campos-Roca, Carlos J. Pérez, A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson’s disease, Computer Methods and Programs in Biomedicine, Volume 154, 2018, 89-97, ISSN: 0169-2607, DOI: 10.1016/j.cmpb.2017.11.010.