Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings

  title={Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings},
  author={Betul Erdogdu Sakar and M. Erdem Isenkul and Cemal Okan Sakar and Ahmet Sertbas and Fikret S. G{\"u}rgen and Sakir Delil and Hulya Apaydin and Olcay Kursun},
  journal={IEEE Journal of Biomedical and Health Informatics},
There has been an increased interest in speech pattern analysis applications of Parkinsonism for building predictive telediagnosis and telemonitoring models. For this purpose, we have collected a wide variety of voice samples, including sustained vowels, words, and sentences compiled from a set of speaking exercises for people with Parkinson's disease. There are two main issues in learning from such a dataset that consists of multiple speech recordings per subject: 1) How predictive these… CONTINUE READING
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