Abstract | ||
---|---|---|
A new software for modeling pathological speech signals is presented in this paper. The software is called NeuroSpeech. This software enables the analysis of pathological speech signals considering different speech dimensions: phonation, articulation, prosody, and intelligibility. All the methods considered in the software have been validated in previous experiments and publications. The current version of NeuroSpeech was developed to model dysarthric speech signals from people with Parkinson's disease; however, the structure of the software allows other computer scientists or developers to include other pathologies and/or other measures in order to complement the existing options. Three different tasks can be performed with the current version of the software: (1) the modeling of the speech recordings considering the aforementioned speech dimensions, (2) the automatic discrimination of Parkinson's vs. non-Parkinson's speech signals (if the user has access to recordings of other pathologies, he/she can re-train the system to perform the detection of other diseases), and (3) the prediction of the neurological state of the patient according to the Unified Parkinson's Disease Rating Scale (UPDRS) score. The prediction of the dysarthria level according to the Frenchay Dysarthria Assessment scale is also provided (the user can also train the system to perform the prediction of other kind of scales or degrees of severity). |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.dsp.2017.07.004 | Digital Signal Processing |
Keywords | Field | DocType |
Parkinson's disease,Dysarthria,Speech processing,Python,Software | Speech processing,Prosody,Computer science,Rating scale,Speech recognition,Software,Natural language processing,Artificial intelligence,Phonation,Dysarthria,Python (programming language),Intelligibility (communication) | Journal |
Volume | ISSN | Citations |
77 | 1051-2004 | 4 |
PageRank | References | Authors |
0.58 | 9 | 16 |
Name | Order | Citations | PageRank |
---|---|---|---|
Juan Rafael Orozco-Arroyave | 1 | 98 | 27.63 |
Juan C. Correa | 2 | 22 | 10.18 |
Francisco Vargas | 3 | 284 | 19.94 |
R. Arora | 4 | 489 | 35.97 |
N. Dehak | 5 | 1269 | 92.64 |
Phani S. Nidadavolu | 6 | 11 | 3.78 |
H. Christensen | 7 | 44 | 9.72 |
Frank Rudzicz | 8 | 231 | 44.82 |
Maria Yancheva | 9 | 17 | 2.33 |
Hamid R. Chinaei | 10 | 4 | 0.58 |
Alyssa Vann | 11 | 4 | 0.58 |
Nikolai Vogler | 12 | 4 | 1.59 |
Tobias Bocklet | 13 | 4 | 0.58 |
Milos Cernak | 14 | 65 | 13.63 |
Julius Hannink | 15 | 49 | 7.07 |
Elmar Nöth | 16 | 959 | 158.94 |