Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Arlindo Veiga"'
Publikováno v:
Linguamática, Vol 4, Iss 1 (2012)
Na qualidade de grupo de investigação em Processamento Computacional da Língua portuguesa, pretendemos, neste documento, relatar a experiência vivenciada na participação do grupo LudIT no Págico -- Português Mágico. Estando o nosso trabalh
Externí odkaz:
https://doaj.org/article/25c0aeac71f14a6984ae95cdd074ba65
Publikováno v:
Linguamática, Vol 3, Iss 2 (2012)
A conversão de grafema para fonema diz respeito à tarefa de encontrar a pronuÌncia de um vocábulo dado na sua forma escrita, a qual tem uma forte componente de aplicação em sistemas de reconhecimento e de síntese de fala. Uma nova abordagem na
Externí odkaz:
https://doaj.org/article/203fe7cc38544f258ff2f78895bdc3f3
Publikováno v:
EUSIPCO
This paper presents an approach to the Query-by-Example task of finding spoken queries on speech databases when the intended match may be non-exact or slightly complex. The built system is low-resource as it tries to solve the problem where the langu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28aff4cc213fdc860c33b00fd7af3e60
https://doi.org/10.1109/eusipco.2015.7362666
https://doi.org/10.1109/eusipco.2015.7362666
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319097602
PROPOR
PROPOR
This paper presents a study on keyword spotting systems based on acoustic similarity between a filler model and keyword model. The ratio between the keyword model likelihood and the generic (filler) model likelihood is used by the classifier to detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::737db89e73271638c6a6351f8a59b373
https://doi.org/10.1007/978-3-319-09761-9_5
https://doi.org/10.1007/978-3-319-09761-9_5
Autor:
Cristina Januário, João Lemos, Fernando Perdigão, Sara Candeias, Jorge Proença, Arlindo Veiga
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319097602
PROPOR
PROPOR
This study intends to identify acoustic and phonetic characteristics of the speech of Parkinson’s Disease (PD) patients, usually manifesting hypokinetic dysarthria. A speech database has been collected from a control group and from a group of patie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a98ab28fae7ff89a2bae5e9e77ab01a
https://doi.org/10.1007/978-3-319-09761-9_3
https://doi.org/10.1007/978-3-319-09761-9_3
Autor:
Sara Candeias, Fernando Perdigão, Jorge Proença, Arlindo Veiga, Vanessa Marquiafável, Christopher Shulby
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319097602
PROPOR
PROPOR
The correct automatic pronunciation of words is a nontrivial problem, even for inflexions of Portuguese verbs, and has not been systematically solved yet, if verbal irregularity is taken into account. The purpose of this work is to enhance a grapheme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e16f6f1487240cff5494e5087b3f4eb5
https://doi.org/10.1007/978-3-319-09761-9_4
https://doi.org/10.1007/978-3-319-09761-9_4
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642288845
PROPOR
PROPOR
In this paper we present results from a study seeking to distinguish "unprepared" from "prepared" speech in broadcast news media. The idea is to explore the results from a previous experiment concerning the characterization of filled pauses and exten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c3c0fbef63328261f33cc8f9fdeb53a
https://doi.org/10.1007/978-3-642-28885-2_47
https://doi.org/10.1007/978-3-642-28885-2_47
Publikováno v:
Advances in Speech and Language Technologies for Iberian Languages ISBN: 9783642352911
IberSPEECH
IberSPEECH
This study presents an approach to the task of automatically classifying and detecting speaking styles. The detection of speaking styles is useful for the segmentation of multimedia data into consistent parts and has important applications, such as i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b446565c10ad8bd526692e1e29aaaeed
https://doi.org/10.1007/978-3-642-35292-8_10
https://doi.org/10.1007/978-3-642-35292-8_10
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642288845
PROPOR
PROPOR
This paper introduces a European Portuguese speech database containing spoken material recorded from children. The need for such database arose from the need of train phone models for the development of a computer aided speech therapy system. Articul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c0fd6d4923efe5668d3d095338f3c65
https://doi.org/10.1007/978-3-642-28885-2_41
https://doi.org/10.1007/978-3-642-28885-2_41
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642123191
PROPOR
PROPOR
Phone recognition experiments give information about the confusions between phones. Grouping the most confusable phones and making a multilevel hierarchical classification should improve phone recognition. In this paper a clustering method is investi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14a0c901adbdc1c7e199a3b2fbed8482
https://doi.org/10.1007/978-3-642-12320-7_16
https://doi.org/10.1007/978-3-642-12320-7_16