RT Journal Article
T1 Spoken term detection ALBAYZIN 2014 evaluation: overview, systems, results, and discussion
A1 Tejedor Noguerales, Javier
A1 Toledano, Doroteo T
A1 López Otero, Paula
A1 Docío Fernández, Laura
A1 García Mateo, Carmen
A1 Cardenal López, Antonio José
A1 Echeverry Correa, Julian David
A1 Coucheiro Limeres, Alejandro
A1 Olcoz, Julia
A1 Miguel Artiaga, Antonio
K1 1203.04 Inteligencia Artificial
K1 2405 Biometría
K1 5701.09 Traducción Automática
AB Spoken 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).
PB EURASIP Journal on Audio Speech and Music Processing
SN 16874722
YR 2015
FD 2015-08-07
LK http://hdl.handle.net/11093/3291
UL http://hdl.handle.net/11093/3291
LA eng
NO EURASIP Journal on Audio Speech and Music Processing, 2015, 21-27 (2015)
NO Ministerio de Economía y Competitividad | Ref. TEC2012-37585-C02-01
DS Investigo
RD 11-dic-2024