| Advances in Parkinson's disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects L Moro-Velazquez, JA Gomez-Garcia, JD Arias-Londoño, N Dehak, ... Biomedical Signal Processing and Control 66, 102418, 2021 | 162 | 2021 |
| Artificial intelligence applied to chest X-ray images for the automatic detection of COVID-19. A thoughtful evaluation approach JD Arias-Londono, JA Gomez-Garcia, L Moro-Velazquez, ... Ieee Access 8, 226811-226827, 2020 | 114 | 2020 |
| Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease L Moro-Velazquez, JA Gómez-García, JI Godino-Llorente, J Villalba, ... Applied Soft Computing 62, 649-666, 2018 | 101 | 2018 |
| Towards the identification of Idiopathic Parkinson’s Disease from the speech. New articulatory kinetic biomarkers JI Godino-Llorente, S Shattuck-Hufnagel, JY Choi, L Moro-Velázquez, ... PloS one 12 (12), e0189583, 2017 | 98 | 2017 |
| Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer's Disease and Assess its Severity. R Pappagari, J Cho, L Moro-Velazquez, N Dehak Interspeech, 2177-2181, 2020 | 89 | 2020 |
| Using x-vectors to automatically detect parkinson’s disease from speech L Moro-Velazquez, J Villalba, N Dehak ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 73 | 2020 |
| A forced gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing L Moro-Velazquez, JA Gomez-Garcia, JI Godino-Llorente, J Villalba, ... Biomedical Signal Processing and Control 48, 205-220, 2019 | 72 | 2019 |
| Phonetic relevance and phonemic grouping of speech in the automatic detection of Parkinson’s Disease L Moro-Velazquez, JA Gomez-Garcia, JI Godino-Llorente, ... Scientific reports 9 (1), 19066, 2019 | 68 | 2019 |
| Automatic detection and assessment of Alzheimer Disease using speech and language technologies in low-resource scenarios R Pappagari, J Cho, S Joshi, L Moro-Velazquez, P Zelasko, J Villalba, ... | 66 | 2021 |
| On the design of automatic voice condition analysis systems. Part I: Review of concepts and an insight to the state of the art JA Gómez-García, L Moro-Velázquez, JI Godino-Llorente Biomedical Signal Processing and Control 51, 181-199, 2019 | 66 | 2019 |
| Copypaste: An augmentation method for speech emotion recognition R Pappagari, J Villalba, P Żelasko, L Moro-Velazquez, N Dehak ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 62 | 2021 |
| Segmental contrastive predictive coding for unsupervised word segmentation S Bhati, J Villalba, P Żelasko, L Moro-Velazquez, N Dehak arXiv preprint arXiv:2106.02170, 2021 | 58 | 2021 |
| Study of pre-processing defenses against adversarial attacks on state-of-the-art speaker recognition systems S Joshi, J Villalba, P Zelasko, L Moro-Velázquez, N Dehak IEEE Transactions on Information Forensics and Security, 16, 4811-4826, 2021 | 57* | 2021 |
| On the design of automatic voice condition analysis systems. Part II: Review of speaker recognition techniques and study on the effects of different variability factors JA Gómez-García, L Moro-Velázquez, JI Godino-Llorente Biomedical Signal Processing and Control 48, 128-143, 2019 | 50 | 2019 |
| Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson’s Disease L Moro-Velazquez, JJ Cho, S Watanabe, MA Hasegawa-Johnson, ... Proc. Interspeech 2019, 3875-3879, 2019 | 44 | 2019 |
| Modulation spectra morphological parameters: A new method to assess voice pathologies according to the grbas scale L Moro-Velázquez, JA Gómez-García, JI Godino-Llorente, ... BioMed research international 2015 (1), 259239, 2015 | 41 | 2015 |
| LSTM siamese network for Parkinson’s disease detection from speech S Bhati, LM Velazquez, J Villalba, N Dehak 2019 ieee global conference on signal and information processing (globalsip …, 2019 | 32 | 2019 |
| Things to consider when automatically detecting Parkinson’s disease using the phonation of sustained vowels: analysis of methodological issues AS Ozbolt, L Moro-Velazquez, I Lina, AA Butala, N Dehak Applied Sciences 12 (3), 991, 2022 | 30 | 2022 |
| Unsupervised speech segmentation and variable rate representation learning using segmental contrastive predictive coding S Bhati, J Villalba, P Żelasko, L Moro-Velazquez, N Dehak IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2002-2014, 2022 | 29 | 2022 |
| Interpretable speech features vs. DNN embeddings: What to use in the automatic assessment of Parkinson’s disease in multi-lingual scenarios A Favaro, YT Tsai, A Butala, T Thebaud, J Villalba, N Dehak, ... Computers in Biology and Medicine 166, 107559, 2023 | 28 | 2023 |
Najim DehakAssociate Professor at ECE department, Johns Hopkins University.Підтверджена електронна адреса в jhu.edu
