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Laureano Moro-Velázquez
Laureano Moro-Velázquez
Assistant Research Professor at Electrical and Computer Engineering Dept., Johns Hopkins University
Verified email at jhu.edu
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Cited by
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Year
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
1112021
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
1032020
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
922018
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
872017
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
722020
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
642019
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
632019
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
552020
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
522021
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
502019
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
49*2021
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
482021
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, ...
452021
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
442019
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
402015
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
302019
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
262019
Voice pathology detection using modulation spectrum-optimized metrics
L Moro-Velázquez, JA Gómez-García, JI Godino-Llorente
Frontiers in bioengineering and biotechnology 4, 1, 2016
262016
That sounds familiar: an analysis of phonetic representations transfer across languages
P Żelasko, L Moro-Velázquez, M Hasegawa-Johnson, O Scharenborg, ...
arXiv preprint arXiv:2005.08118, 2020
252020
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
242022
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