000063146 001__ 63146
000063146 005__ 20171215113319.0
000063146 0247_ $$2doi$$a10.1186/s13636-015-0063-8
000063146 0248_ $$2sideral$$a91673
000063146 037__ $$aART-2015-91673
000063146 041__ $$aeng
000063146 100__ $$aTejedor, J.
000063146 245__ $$aSpoken term detection ALBAYZIN 2014 evaluation: overview, systems, results, and discussion
000063146 260__ $$c2015
000063146 5060_ $$aAccess copy available to the general public$$fUnrestricted
000063146 5203_ $$aSpoken term detection (STD) aims at retrieving data from a speech repository given a textual representation of the search term. Nowadays, it is receiving much interest due to the large volume of multimedia information. STD differs from automatic speech recognition (ASR) in that ASR is interested in all the terms/words that appear in the speech data, whereas STD focuses on a selected list of search terms that must be detected within the speech data. This paper presents the systems submitted to the STD ALBAYZIN 2014 evaluation, held as a part of the ALBAYZIN 2014 evaluation campaign within the context of the IberSPEECH 2014 conference. This is the first STD evaluation that deals with Spanish language. The evaluation consists of retrieving the speech files that contain the search terms, indicating their start and end times within the appropriate speech file, along with a score value that reflects the confidence given to the detection of the search term. The evaluation is conducted on a Spanish spontaneous speech database, which comprises a set of talks from workshops and amounts to about 7 h of speech. We present the database, the evaluation metrics, the systems submitted to the evaluation, the results, and a detailed discussion. Four different research groups took part in the evaluation. Evaluation results show reasonable performance for moderate out-of-vocabulary term rate. This paper compares the systems submitted to the evaluation and makes a deep analysis based on some search term properties (term length, in-vocabulary/out-of-vocabulary terms, single-word/multi-word terms, and in-language/foreign terms).
000063146 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TEC2012-37585-C02-01
000063146 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000063146 590__ $$a0.797$$b2015
000063146 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b175 / 255 = 0.686$$c2015$$dQ3$$eT3
000063146 591__ $$aACOUSTICS$$b21 / 30 = 0.7$$c2015$$dQ3$$eT3
000063146 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000063146 700__ $$aToledano, D.T.
000063146 700__ $$aLopez-Otero, P.
000063146 700__ $$aDocio-Fernandez, L.
000063146 700__ $$aGarcia-Mateo, C.
000063146 700__ $$aCardenal, A.
000063146 700__ $$aEcheverry-Correa, J.
000063146 700__ $$aCoucheiro-Limeres, A.
000063146 700__ $$0(orcid)0000-0002-0261-3877$$aOlcoz, J.$$uUniversidad de Zaragoza
000063146 700__ $$0(orcid)0000-0001-5803-4316$$aMiguel, A.$$uUniversidad de Zaragoza
000063146 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDepartamento de Ingeniería Electrónica y Comunicaciones$$cTeoría de la Señal y Comunicaciones
000063146 773__ $$g2015, 21 (2015), [27 pp]$$pEURASIP j. audio, speech music. process.$$tEURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING$$x1687-4714
000063146 8564_ $$s2316296$$uhttp://zaguan.unizar.es/record/63146/files/texto_completo.pdf$$yVersión publicada
000063146 8564_ $$s11452$$uhttp://zaguan.unizar.es/record/63146/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000063146 909CO $$ooai:zaguan.unizar.es:63146$$particulos$$pdriver
000063146 951__ $$a2017-12-15-11:30:33
000063146 980__ $$aARTICLE