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ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation

EURASIP Journal on Audio, Speech, and Music Processing, 2018, Vol.2018(1), pp.1-25 [Peer Reviewed Journal]

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  • Title:
    ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
  • Author: Tejedor, Javier ; Toledano, Doroteo T. ; Lopez-Otero, Paula ; Docio-Fernandez, Laura ; Proença, Jorge ; Perdigão, Fernando ; García-Granada, Fernando ; Sanchis, Emilio ; Pompili, Anna ; Abad, Alberto
  • Found In: EURASIP Journal on Audio, Speech, and Music Processing, 2018, Vol.2018(1), pp.1-25 [Peer Reviewed Journal]
  • Subjects: Query-by-example Spoken Term Detection ; International evaluation ; Spanish ; Search on spontaneous speech
  • Language: English
  • Description: 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.
  • Identifier: E-ISSN: 1687-4722 ; DOI: 10.1186/s13636-018-0125-9

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