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Mispronunciation Detection in Children's Reading of Sentences
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Automatic assessment of reading ability of children ; Avaliação automática da capacidade de leitura de crianças
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Geração de Pseudopalavras para Avaliação Linguística ; Pseudo-word Generator for Linguistic Evaluation
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ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
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García-Granada, Fernando; Perdigão, Fernando; Docio-Fernandez, Laura; Sanchís Arnal, Emilio; Proença, Jorge; Pompili, Anna; Lopez-Otero, Paula; Abad, Alberto; Tejedor, Javier; Toledano, Doroteo T.. - : Springer (Biomed Central Ltd.), 2018
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Abstract:
[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. ; Tejedor, J.; Toledano, DT.; Lopez-Otero, P.; Docio-Fernandez, L.; Proença, J.; Perdigão, F.; García-Granada, F. (2018). ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation. 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Keyword:
International evaluation; LENGUAJES Y SISTEMAS INFORMATICOS; Query-by-example; Spanish,Search on spontaneous speech; Spoken Term Detectio
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URL: http://hdl.handle.net/10251/145736
https://doi.org/10.1186/s13636-018-0125-9
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A method for the extraction of phonetically-rich triphone sentences
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BASE
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| 9 |
Treino não supervisionado de modelos acústicos para reconhecimento de fala
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| 10 |
Computational Processing of the Portuguese Language : 10th International Conference, PROPOR 2012, Coimbra, Portugal, April 17-20, 2012, Proceedings
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UB Frankfurt Linguistik
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| 14 |
Classes Fonéticas Alargadas no Reconhecimento Automático de Fones
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| 15 |
Towards semi-supervised Brazilian Portuguese semantic role labeling: Building a benchmark
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