ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation

[EN] Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of interest as the input. This paper presents the systems submitted to the ALBAYZIN QbE STD 2016 Evaluation held as a part of the ALBAYZIN 2016 Ev...

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Autores: Tejedor, Javier, Toledano, Doroteo T., Lopez-Otero, Paula, Docio-Fernandez, Laura, Proença, Jorge, Perdigão, Fernando, Pompili, Anna, Abad, Alberto, García-Granada, Fernando|||0000-0003-2213-4213, Sanchís Arnal, Emilio|||0000-0002-6737-4723
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/145736
Acceso en línea:https://riunet.upv.es/handle/10251/145736
Access Level:acceso abierto
Palabra clave:Query-by-example
Spoken Term Detectio
International evaluation
Spanish,Search on spontaneous speech
LENGUAJES Y SISTEMAS INFORMATICOS
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oai_identifier_str oai:riunet.upv.es:10251/145736
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
title ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
spellingShingle ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
Tejedor, Javier
Query-by-example
Spoken Term Detectio
International evaluation
Spanish,Search on spontaneous speech
LENGUAJES Y SISTEMAS INFORMATICOS
title_short ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
title_full ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
title_fullStr ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
title_full_unstemmed ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
title_sort ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
dc.creator.none.fl_str_mv Tejedor, Javier
Toledano, Doroteo T.
Lopez-Otero, Paula
Docio-Fernandez, Laura
Proença, Jorge
Perdigão, Fernando
Pompili, Anna
Abad, Alberto
García-Granada, Fernando|||0000-0003-2213-4213
Sanchís Arnal, Emilio|||0000-0002-6737-4723
author Tejedor, Javier
author_facet Tejedor, Javier
Toledano, Doroteo T.
Lopez-Otero, Paula
Docio-Fernandez, Laura
Proença, Jorge
Perdigão, Fernando
Pompili, Anna
Abad, Alberto
García-Granada, Fernando|||0000-0003-2213-4213
Sanchís Arnal, Emilio|||0000-0002-6737-4723
author_role author
author2 Toledano, Doroteo T.
Lopez-Otero, Paula
Docio-Fernandez, Laura
Proença, Jorge
Perdigão, Fernando
Pompili, Anna
Abad, Alberto
García-Granada, Fernando|||0000-0003-2213-4213
Sanchís Arnal, Emilio|||0000-0002-6737-4723
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Sistemas Informáticos y Computación
Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica
Escuela Técnica Superior de Ingeniería Informática
Instituto Universitario Valenciano de Investigación en Inteligencia Artificial
Xunta de Galicia
Agencia Estatal de Investigación
Ministerio de Ciencia e Innovación
Fundação para a Ciência e a Tecnologia, Portugal
Atlantic Research Center for Information and Communication Technologies
Ministerio de Economía y Competitividad
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Query-by-example
Spoken Term Detectio
International evaluation
Spanish,Search on spontaneous speech
LENGUAJES Y SISTEMAS INFORMATICOS
topic Query-by-example
Spoken Term Detectio
International evaluation
Spanish,Search on spontaneous speech
LENGUAJES Y SISTEMAS INFORMATICOS
description [EN] Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of interest as the input. This paper presents the systems submitted to the ALBAYZIN QbE STD 2016 Evaluation held as a part of the ALBAYZIN 2016 Evaluation Campaign at the IberSPEECH 2016 conference. Special attention was given to the evaluation design so that a thorough post-analysis of the main results could be carried out. Two different Spanish speech databases, which cover different acoustic and language domains, were used in the evaluation: the MAVIR database, which consists of a set of talks from workshops, and the EPIC database, which consists of a set of European Parliament sessions in Spanish. We present the evaluation design, both databases, the evaluation metric, the systems submitted to the evaluation, the results, and a thorough analysis and discussion. Four different research groups participated in the evaluation, and a total of eight template matching-based systems were submitted. We compare the systems submitted to the evaluation and make an in-depth analysis based on some properties of the spoken queries, such as query length, single-word/multi-word queries, and in-language/out-of-language queries.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/145736
url https://riunet.upv.es/handle/10251/145736
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Xunta de Galicia http://dx.doi.org/10.13039/501100010801 ED431G%2F01
Xunta de Galicia http://dx.doi.org/10.13039/501100010801 GRC2014%2F024
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TEC2015-68172-C2-1-P REDES PROFUNDAS Y MODELOS DE SUBESPACIOS PARA DETECCION Y SEGUIMIENTO DE LOCUTOR, IDIOMA Y ENFERMEDADES DEGENERATIVAS A PARTIR DE LA VOZ
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TEC2015-65345-P DETECCION MULTIMEDIA Y MULTILINGUE DE INFORMACION SOBRE PERSONAS
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 TIN2017-85854-C4-2-R AMIC-UPV: ANALISIS AFECTIVO DE INFORMACION MULTIMEDIA CON COMUNICACION INCLUSIVA Y NATURAL
Fundação para a Ciência e a Tecnologia, Portugal https://doi.org/10.13039/501100001871 5876 147328 Instituto de Telecomunicações
Fundação para a Ciência e a Tecnologia, Portugal https://doi.org/10.13039/501100001871 5876 147282 Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
Fundação para a Ciência e a Tecnologia, Portugal https://doi.org/10.13039/501100001871 SFRH SFRH%2FBD%2F97204%2F2013
Fundação para a Ciência e a Tecnologia, Portugal https://doi.org/10.13039/501100001871 SFRH SFRH%2FBD%2F97187%2F2013
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
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Reconocimiento (by)
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer (Biomed Central Ltd.)
publisher.none.fl_str_mv Springer (Biomed Central Ltd.)
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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spelling ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluationTejedor, JavierToledano, Doroteo T.Lopez-Otero, PaulaDocio-Fernandez, LauraProença, JorgePerdigão, FernandoPompili, AnnaAbad, AlbertoGarcía-Granada, Fernando|||0000-0003-2213-4213Sanchís Arnal, Emilio|||0000-0002-6737-4723Query-by-exampleSpoken Term DetectioInternational evaluationSpanish,Search on spontaneous speechLENGUAJES Y SISTEMAS INFORMATICOS[EN] Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of interest as the input. This paper presents the systems submitted to the ALBAYZIN QbE STD 2016 Evaluation held as a part of the ALBAYZIN 2016 Evaluation Campaign at the IberSPEECH 2016 conference. Special attention was given to the evaluation design so that a thorough post-analysis of the main results could be carried out. Two different Spanish speech databases, which cover different acoustic and language domains, were used in the evaluation: the MAVIR database, which consists of a set of talks from workshops, and the EPIC database, which consists of a set of European Parliament sessions in Spanish. We present the evaluation design, both databases, the evaluation metric, the systems submitted to the evaluation, the results, and a thorough analysis and discussion. Four different research groups participated in the evaluation, and a total of eight template matching-based systems were submitted. We compare the systems submitted to the evaluation and make an in-depth analysis based on some properties of the spoken queries, such as query length, single-word/multi-word queries, and in-language/out-of-language queries.This work was partially supported by Fundacao para a Ciencia e Tecnologia (FCT) under the projects UID/EEA/50008/2013 (pluriannual funding in the scope of the LETSREAD project) and UID/CEC/50021/2013, and Grant SFRH/BD/97187/2013. Jorge Proenca is supported by the SFRH/BD/97204/2013 FCT Grant. This work was also supported by the Galician Government ('Centro singular de investigacion de Galicia' accreditation 2016-2019 ED431G/01 and the research contract GRC2014/024 (Modalidade: Grupos de Referencia Competitiva 2014)), the European Regional Development Fund (ERDF), the projects "DSSL: Redes Profundas y Modelos de Subespacios para Deteccion y Seguimiento de Locutor, Idioma y Enfermedades Degenerativas a partir de la Voz" (TEC2015-68172-C2-1-P) and the TIN2015-64282-R funded by Ministerio de Economia y Competitividad in Spain, the Spanish Government through the project "TraceThem" (TEC2015-65345-P), and AtlantTIC ED431G/04.Springer (Biomed Central Ltd.)Departamento de Sistemas Informáticos y ComputaciónEscuela Técnica Superior de Ingeniería Geodésica, Cartográfica y TopográficaEscuela Técnica Superior de Ingeniería InformáticaInstituto Universitario Valenciano de Investigación en Inteligencia ArtificialXunta de GaliciaAgencia Estatal de InvestigaciónMinisterio de Ciencia e InnovaciónFundação para a Ciência e a Tecnologia, PortugalAtlantic Research Center for Information and Communication TechnologiesMinisterio de Economía y CompetitividadRepositorio Institucional de la Universitat Politècnica de València Riunet20182018-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/145736reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengXunta de Galicia http://dx.doi.org/10.13039/501100010801 ED431G%2F01Xunta de Galicia http://dx.doi.org/10.13039/501100010801 GRC2014%2F024Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TEC2015-68172-C2-1-P REDES PROFUNDAS Y MODELOS DE SUBESPACIOS PARA DETECCION Y SEGUIMIENTO DE LOCUTOR, IDIOMA Y ENFERMEDADES DEGENERATIVAS A PARTIR DE LA VOZMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TEC2015-65345-P DETECCION MULTIMEDIA Y MULTILINGUE DE INFORMACION SOBRE PERSONASAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 TIN2017-85854-C4-2-R AMIC-UPV: ANALISIS AFECTIVO DE INFORMACION MULTIMEDIA CON COMUNICACION INCLUSIVA Y NATURALFundação para a Ciência e a Tecnologia, Portugal https://doi.org/10.13039/501100001871 5876 147328 Instituto de TelecomunicaçõesFundação para a Ciência e a Tecnologia, Portugal https://doi.org/10.13039/501100001871 5876 147282 Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em LisboaFundação para a Ciência e a Tecnologia, Portugal https://doi.org/10.13039/501100001871 SFRH SFRH%2FBD%2F97204%2F2013Fundação para a Ciência e a Tecnologia, Portugal https://doi.org/10.13039/501100001871 SFRH SFRH%2FBD%2F97187%2F2013open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1457362026-06-13T07:49:27Z
score 15,198674

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