Výsledky vyhledávání - "Adrií Giménez"

Statistical Text-to-Speech Synthesis of Spanish Subtitles

Autor: Santiago Piqueras, Alfons Juan, Adrií Giménez, Jorge Civera, Miguel Angel Del-Agua

Publikováno v: Advances in Speech and Language Technologies for Iberian Languages ISBN: 9783319136226
IberSPEECH
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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Scopus-Elsevier

Online multimedia repositories are growing rapidly. However, language barriers are often difficult to overcome for many of the current and potential users. In this paper we describe a TTS Spanish sys- tem and we apply it to the synthesis of transcrib

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7da49157fbd30f260b6fcf764a23deaf
https://doi.org/10.1007/978-3-319-13623-3_5

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The Translectures-UPV Toolkit

Autor: Nicolás Serrano, Jesús Andrés-Ferrer, Miguel Angel Del-Agua, Alberto Sanchis, Alfons Juan, Adrií Giménez, Jorge Civera

Over the past few years, online multimedia educational repositories have increased in number and popularity. The main aim of the transLectures project is to develop cost-effective solutions for producing accurate transcriptions and translations for l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27dd19dbf2dbb4a95e1a901edca09246
https://doi.org/10.1007/978-3-319-13623-3_28

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Discriminative Bernoulli HMMs for isolated handwritten word recognition

Autor: Alfons Juan, Jesús Andrés-Ferrer, Adrií Giménez

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] Bernoulli HMMs (BHMMs) have been successfully applied to handwritten text recognition (HTR) tasks such as continuous and isolated handwritten words. BHMMs belong to the generative model family and, hence, are usually trained by (joint) maximum l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0a6e85cdab3a486527a984526b0d872
https://hdl.handle.net/10251/50978

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Handwriting word recognition using windowed Bernoulli HMMs

Autor: Jesús Andrés-Ferrer, Alfons Juan, Ihab Khoury, Adrií Giménez

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] Hidden Markov Models (HMMs) are now widely used for off-line handwriting recognition in many lan- guages. As in speech recognition, they are usually built from shared, embedded HMMs at symbol level, where state-conditional probability density fu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::397f2746c7354391a875df45f594f4d2
http://hdl.handle.net/10251/37326

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