Name
Title | ||
|---|---|---|
A forced gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing. |
Abstract | ||
|---|---|---|
•The Forced gaussian schemes allow to compare phonemes between different classes.•PD influences phonemes requiring a higher narrowing of the vocal tract.•The glass ceiling of accuracy in the detection of PD from speech is below 95%.•Cross-corpora validation is highly recommended to ensure generalization. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.bspc.2018.10.020 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Speech processing,Machine learning,Parkinson's Disease,Phoneme,Forced alignment | Speech processing,Parkinson's disease,Pattern recognition,Classification scheme,Speech recognition,Clinical diagnosis,Hypokinetic dysarthria,Artificial intelligence,Vocal tract,Mathematics | Journal |
Volume | ISSN | Citations |
48 | 1746-8094 | 2 |
PageRank | References | Authors |
0.42 | 9 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laureano Moro Velazquez | 1 | 20 | 7.96 |
| Jorge Andrés Gómez García | 2 | 11 | 3.66 |
| Juan Ignacio Godino-Llorente | 3 | 182 | 30.35 |
| jesus villalba | 4 | 41 | 5.11 |
| Jan Rusz | 5 | 67 | 9.78 |
| Stephanie Shattuck-Hufnagel | 6 | 2 | 0.42 |
| N. Dehak | 7 | 1269 | 92.64 |