Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6951794 | Digital Signal Processing | 2018 | 15 Pages |
Abstract
To the best of our knowledge, this is the first software with the characteristics described above, and we consider that it will help other researchers to contribute to the state-of-the-art in pathological speech assessment from different perspectives, e.g., from the clinical point of view for interpretation, and from the computer science point of view enabling the test of different measures and pattern recognition techniques.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, R. Arora, N. Dehak, P.S. Nidadavolu, H. Christensen, F. Rudzicz, M. Yancheva, H. Chinaei, A. Vann, N. Vogler, T. Bocklet, M. Cernak, J. Hannink, Elmar Nöth,