Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Adriano Vilela Barbosa"'
Autor:
Osman Sevket Ipsiroglu, Yi-Hsuan Amy Hung, Forson eChan, Michelle eRoss, Dorothee eVeer, Sonja eSoo, Gloria eHo, Mai eBerger, Graham eMcAllister, Heinrich eGarn, Gerhard eKloesch, Adriano Vilela Barbosa, Sylvia eStockler, William eMcKellin, Eric eVatikiotis-Bateson
Publikováno v:
Frontiers in Psychiatry, Vol 6 (2015)
Introduction Advanced video technology is available for sleep-laboratories. However, low-cost equipment for screening in the home setting has not been identified and tested, nor has a methodology for analysis of video recordings been suggested.Method
Externí odkaz:
https://doaj.org/article/2ee4e462235545d3907b38c76302f2df
Autor:
Denis Burnham, Eric Vatikiotis-Bateson, Adriano Vilela Barbosa, João Vítor Menezes, Hani C. Yehia, Rua Haszard Morris, Guillaume Vignali, Jessica Reynolds
Publikováno v:
Speech Communication. 141:40-55
Publikováno v:
Journal of Speech Sciences. 9:93-104
This work presents a method for lexical tone classification in audio-visual speech. The method is applied to a speech data set consisting of syllables and words produced by a female native speaker of Cantonese. The data were recorded in an audio-visu
Publikováno v:
Mathematical Problems in Engineering, Vol 2020 (2020)
This paper describes the application of a full Bayesian significance test (FBST) to compute evidence intervals in forensic speaker comparison (FSC). In the FBST approach, the challenge is to apply the test to a large number of observations and to for
Publikováno v:
Revista Brasileira de Criminalística, Vol 8, Iss 2, Pp 22-35 (2020)
A comparação forense de locutor (CFL) consiste no confronto entre características de dois áudios, com o objetivo de associar as falas do áudio questionado a um indivíduo conhecido. Esse áudio, na maioria dos casos, é oriundo de interceptaçõ
Publikováno v:
BMC Neuroscience
BMC Neuroscience, BioMed Central, 2021, 22 (1), ⟨10.1186/s12868-020-00605-0⟩
BMC Neuroscience, Vol 22, Iss 1, Pp 1-14 (2021)
BMC Neuroscience, BioMed Central, 2021, 22 (1), ⟨10.1186/s12868-020-00605-0⟩
BMC Neuroscience, Vol 22, Iss 1, Pp 1-14 (2021)
Background A common problem in neurophysiological signal processing is the extraction of meaningful information from high dimension, low sample size data (HDLSS). We present RoLDSIS (regression on low-dimension spanned input space), a regression tech
Publikováno v:
Proceedings of the 5th Brazilian Technology Symposium ISBN: 9783030575656
This study presents a quantitative analysis of the production of lexical tone by speakers of a non-tonal language. More specifically, we look at how well native speakers of Brazilian Portuguese are able to produce the six tones of Cantonese. An exper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c525e6155cb31f1c9815a4b72df30d2
https://doi.org/10.1007/978-3-030-57566-3_45
https://doi.org/10.1007/978-3-030-57566-3_45
This study presents techniques for quantitatively analyzing coordination and kinematics in multimodal speech using video, audio and electromagnetic articulography (EMA) data. Multimodal speech research has flourished due to recent improvements in tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::837103925955c0486de31e55561c44f0
https://europepmc.org/articles/PMC6319935/
https://europepmc.org/articles/PMC6319935/
Publikováno v:
Anais de XXXVI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais.
Publikováno v:
XXVIII Encontro da SOBRAC.