Seuraa
Laureano Moro-Velázquez
Laureano Moro-Velázquez
Assistant Research Professor at Electrical and Computer Engineering Dept., Johns Hopkins University
Vahvistettu sähköpostiosoite verkkotunnuksessa jhu.edu
Nimike
Viittaukset
Viittaukset
Vuosi
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
1042021
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
972020
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
912018
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
852017
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
622019
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
622019
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
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
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
492021
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
48*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
462021
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, ...
432021
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
432019
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, 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
292019
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
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
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
242019
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
232020
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