END-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNING

Detalhes bibliográficos
Autor(a) principal: IGOR MACEDO QUINTANILHA
Data de Publicação: 2017
Tipo de documento: Dissertação
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5002494
id BRCRIS_9804ec178443c74c1a11591590e1aeb0
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv END-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNING
title END-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNING
spellingShingle END-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNING
deep learning
IGOR MACEDO QUINTANILHA
title_short END-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNING
title_full END-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNING
title_fullStr END-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNING
END-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNING
title_full_unstemmed END-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNING
END-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNING
title_sort END-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNING
topic deep learning
publishDate 2017
format masterThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5002494
author_role author
author IGOR MACEDO QUINTANILHA
author_facet IGOR MACEDO QUINTANILHA
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/3790573686920537
dc.contributor.advisor1.fl_str_mv Sergio Lima Netto
LUIZ WAGNER PEREIRA BISCAINHO
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/1765239890846505
http://lattes.cnpq.br/3566465649283245
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000000173891463
https://orcid.org/0000-0003-2959-6963
dc.publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DO RIO DE JANEIRO
publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DO RIO DE JANEIRO
instname_str UNIVERSIDADE FEDERAL DO RIO DE JANEIRO
dc.publisher.program.fl_str_mv ENGENHARIA ELÉTRICA
dc.description.course.none.fl_txt_mv ENGENHARIA ELÉTRICA
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESEND-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNINGEND-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNINGEND-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNINGEND-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNINGEND-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNINGEND-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNINGEND-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNINGdeep learning2017masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5002494authorIGOR MACEDO QUINTANILHAhttp://lattes.cnpq.br/3790573686920537Sergio Lima Nettohttp://lattes.cnpq.br/1765239890846505https://orcid.org/0000000173891463UNIVERSIDADE FEDERAL DO RIO DE JANEIROUNIVERSIDADE FEDERAL DO RIO DE JANEIROUNIVERSIDADE FEDERAL DO RIO DE JANEIROENGENHARIA ELÉTRICAENGENHARIA ELÉTRICAPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv QUINTANILHA, IGOR MACEDO. END-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNING. 2017. Tese.
dc.identifier.citation.fl_str_mv QUINTANILHA, IGOR MACEDO. END-TO-END SPEECH RECOGNITION APPLIED TO BRAZILIAN PORTUGUESE USING DEEP LEARNING. 2017. Tese.
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