References¶
If you use Disvoice for research purposes, please cite the following papers, depending on the features you use:
glottal features¶
[1] Belalcázar-Bolaños, E. A., Orozco-Arroyave, J. R., Vargas-Bonilla, J. F., Haderlein, T., & Nöth, E. (2016, September). Glottal Flow Patterns Analyses for Parkinson’s Disease Detection: Acoustic and Nonlinear Approaches. In International Conference on Text, Speech, and Dialogue (pp. 400-407). Springer.
phonation features¶
[1] T. Arias-Vergara, J. C. Vásquez-Correa, J. R. Orozco-Arroyave, Parkinson’s Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech, Cognitive computation, (2017).
[2] Vásquez-Correa, J. C., et al. “Towards an automatic evaluation of the dysarthria level of patients with Parkinson’s disease.” Journal of communication disorders 76 (2018): 21-36.
articulation features¶
[1] Vásquez-Correa, J. C., et al. “Towards an automatic evaluation of the dysarthria level of patients with Parkinson’s disease.” Journal of communication disorders 76 (2018): 21-36.
[2]. J. R. Orozco-Arroyave, J. C. Vásquez-Correa et al. “NeuroSpeech: An open-source software for Parkinson’s speech analysis.” Digital Signal Processing (2017).
prosody features¶
[1]. N., Dehak, P. Dumouchel, and P. Kenny. “Modeling prosodic features with joint factor analysis for speaker verification.” IEEE Transactions on Audio, Speech, and Language Processing 15.7 (2007): 2095-2103.
[2] Vásquez-Correa, J. C., et al. “Towards an automatic evaluation of the dysarthria level of patients with Parkinson’s disease.” Journal of communication disorders 76 (2018): 21-36.
phonological features¶
[1] Vásquez-Correa, J. C., Klumpp, P., Orozco-Arroyave, J. R., & Nöth, E. (2019). Phonet: a Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech. Proc. Interspeech 2019, 549-553.
Representation learning features¶
[1] Vasquez-Correa, J. C., et al. (2020). Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson’s Disease and Cleft Lip and Palate. Speech Communication, 122, 56-67.