Using X-Vectors to Automatically Detect Parkinson's Disease from Speech

• Published in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1155 - 1159
• Main Authors: Moro-Velazquez, Laureano, Villalba, Jesus, Dehak, Najim
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2020
• Subjects: Acoustics; Diseases; i-Vectors; Neural networks; Parkinson's Disease; Signal processing; Speaker recognition; speech; Speech processing; Speech recognition; x-Vectors

The promise of new neuroprotective treatments to stop or slow the advance of Parkinson's Disease (PD) urges for new biomarkers or detection schemes that can deliver a faster diagnosis. Given that speech is affected by PD, the combination of deep neural networks and speech processing can provide...