Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Laureano Moro-Velazquez"'
Autor:
Julian D. Arias-Londono, Jorge A. Gomez-Garcia, Laureano Moro-Velazquez, Juan I. Godino-Llorente
Publikováno v:
IEEE Access, Vol 8, Pp 226811-226827 (2020)
Current standard protocols used in the clinic for diagnosing COVID-19 include molecular or antigen tests, generally complemented by a plain chest X-Ray. The combined analysis aims to reduce the significant number of false negatives of these tests and
Externí odkaz:
https://doaj.org/article/68d865e707774283ac769f394e5226b1
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 991 (2022)
Diagnosing Parkinson’s Disease (PD) necessitates monitoring symptom progression. Unfortunately, diagnostic confirmation often occurs years after disease onset. A more sensitive and objective approach is paramount to the expedient diagnosis and trea
Externí odkaz:
https://doaj.org/article/c6587b50bddc4ffab843202c1b13f327
Autor:
Laureano Moro-Velazquez
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 4 (2016)
Externí odkaz:
https://doaj.org/article/ff4d5cfb6df34db3861453db4fa9bb87
Autor:
Anna Favaro, Ankur Butala, Thomas Thebaud, Jesús Villalba, Najim Dehak, Laureano Moro-Velázquez
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-17 (2024)
Abstract Numerous studies proposed methods to detect Parkinson’s disease (PD) via speech analysis. However, existing corpora often lack prodromal recordings, have small sample sizes, and lack longitudinal data. Speech samples from celebrities who p
Externí odkaz:
https://doaj.org/article/82158bc3c8b54f4faf524c79e3106109
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 30:2002-2014
Typically, unsupervised segmentation of speech into the phone and word-like units are treated as separate tasks and are often done via different methods which do not fully leverage the inter-dependence of the two tasks. Here, we unify them and propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::375ba1579a7247c8e135c1eb934a0cd1
https://doi.org/10.1109/taslp.2022.3180684
https://doi.org/10.1109/taslp.2022.3180684
Autor:
Anna Favaro, Chelsie Motley, Tianyu Cao, Miguel Iglesias, Ankur Butala, Esther S. Oh, Robert D. Stevens, Jesus Villalba, Najim Dehak, Laureano Moro-Velazquez
Publikováno v:
2022 IEEE Spoken Language Technology Workshop (SLT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb4eeb1de7c599502ccefa4cb25ebaca
https://doi.org/10.1109/slt54892.2023.10022435
https://doi.org/10.1109/slt54892.2023.10022435
Publikováno v:
2022 IEEE Spoken Language Technology Workshop (SLT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0901f0145c9b0f4d9bee6188d65f1e88
https://doi.org/10.1109/slt54892.2023.10022637
https://doi.org/10.1109/slt54892.2023.10022637
Autor:
Trevor Meyer, Laureano Moro‐Velazquez, Seneca Motley, Ankur Butala, Ashley Paul, Quincy M Samus, Pedro Irazoqui, Najim Dehak, Esther S Oh
Publikováno v:
Alzheimer's & Dementia. 18
Similar to other neurological diseases, subtle early neurological changes that occur in Alzheimer's Disease (AD) are difficult to quantify and track objectively. One relevant bio-signal is eye movement, as it presents a unique window into cognitive p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c1e3b80ed23e47113d098df4a47aec8
https://doi.org/10.1002/alz.066018
https://doi.org/10.1002/alz.066018
Autor:
Anna Favaro, Seneca Motley, Quincy M Samus, Ankur Butala, Najim Dehak, Esther S Oh, Laureano Moro‐Velazquez
Publikováno v:
Alzheimer's & Dementia. 18
Speech and language problems are one of the earliest signs of neurodegenerative diseases including Alzheimer's disease (AD), but they are often difficult to detect especially in the early stages. Utility of assessing speech and language problems usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cae3fcd2de160f08788c218e699335b2
https://doi.org/10.1002/alz.064913
https://doi.org/10.1002/alz.064913
Autor:
Jaejin Cho, Raghavendra Pappagari, Piotr Żelasko, Laureano Moro Velazquez, Jesus Villalba, Najim Dehak
Considering the abundance of unlabeled speech data and the high labeling costs, unsupervised learning methods can be essential for better system development. One of the most successful methods is contrastive self-supervised methods, which require neg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b719ca7bbf81db6a6466cc41c393a43
http://arxiv.org/abs/2208.05413
http://arxiv.org/abs/2208.05413
