Laureano Moro-Velázquez

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	Hepsi	2020 yılından bugüne
Alıntılar	1847	1726
h-endeksi	24	23
i10-endeksi	41	40

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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Najim DehakAssociate Professor at ECE department, Johns Hopkins University.jhu.edu üzerinde doğrulanmış e-posta adresine sahip
Jesús VillalbaJohns Hopkins Universityjhu.edu üzerinde doğrulanmış e-posta adresine sahip
Juan I. Godino-LlorenteUniversidad Politécnica de Madridupm.es üzerinde doğrulanmış e-posta adresine sahip
J.A Gómez-GarcíaPostdoctoral fellow at Spanish National Research Council (CSIC)csic.es üzerinde doğrulanmış e-posta adresine sahip
Piotr ŻelaskoPrincipal Research Scientist @ Nvidianvidia.com üzerinde doğrulanmış e-posta adresine sahip
Ankur Butala MDJohns Hopkins University School of Medicinejhmi.edu üzerinde doğrulanmış e-posta adresine sahip
Thomas ThebaudAssistant Research Scientist CLSP, Johns Hopkins University, Baltimorejhu.edu üzerinde doğrulanmış e-posta adresine sahip
Anna FavaroPhD Candidate, Johns Hopkins Universityjhu.edu üzerinde doğrulanmış e-posta adresine sahip
Saurabhchand BhatiJohns Hopkins Universityjh.edu üzerinde doğrulanmış e-posta adresine sahip
Raghavendra Reddy PappagariApplied Scientist @Amazonamazon.com üzerinde doğrulanmış e-posta adresine sahip
Odette ScharenborgAssociate Professor, Delft University of Technology, The Netherlandstudelft.nl üzerinde doğrulanmış e-posta adresine sahip
Julián David Arias LondoñoFull Professor, Universidad de Antioquia, Colombia.udea.edu.co üzerinde doğrulanmış e-posta adresine sahip
Mark Hasegawa-JohnsonProfessor of Electrical and Computer Engineering, University of Illinoisillinois.edu üzerinde doğrulanmış e-posta adresine sahip
Tianyu CaoPh.D. student, Center for Language and Speech Processing, Johns Hopkins Universityjhu.edu üzerinde doğrulanmış e-posta adresine sahip
Trevor MeyerJohns Hopkins Universityjhu.edu üzerinde doğrulanmış e-posta adresine sahip
Helin WangJohns Hopkins Universityjh.edu üzerinde doğrulanmış e-posta adresine sahip
Esther Oh, M.D. Ph.D.John Hopkins University School of Medicine

Takip et

Laureano Moro-Velázquez

Assistant Research Professor at Electrical and Computer Engineering Dept., Johns Hopkins University

jhu.edu üzerinde doğrulanmış e-posta adresine sahip

Artificial Intelligence Signal processing Digital Biomarkers Parkinson's Disease Alzheimer's


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
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	161	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	99	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	97	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	88	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	72	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
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	71	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	66	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, ...	65	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	61	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	59	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	43	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	42	2015
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	32	2022
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
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
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	28	2022

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