TY - JOUR
T1 - Albayzín-2014 evaluation: audio segmentation and classification in broadcast news domains
T2 - audio segmentation and classification in broadcast news domains
AU - Castán, Diego
AU - Tavarez, David
AU - Lopez-Otero, Paula
AU - Franco-Pedroso, Javier
AU - Delgado, Héctor
AU - Navas, Eva
AU - Docio-Fernández, Laura
AU - Ramos, Daniel
AU - Serrano, Javier
AU - Ortega, Alfonso
AU - Lleida, Eduardo
N1 - Publisher Copyright:
© 2015, Castán et al.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2015/12/1
Y1 - 2015/12/1
N2 - Audio segmentation is important as a pre-processing task to improve the performance of many speech technology tasks and, therefore, it has an undoubted research interest. This paper describes the database, the metric, the systems and the results for the Albayzín-2014 audio segmentation campaign. In contrast to previous evaluations where the task was the segmentation of non-overlapping classes, Albayzín-2014 evaluation proposes the delimitation of the presence of speech, music and/or noise that can be found simultaneously. The database used in the evaluation was created by fusing different media and noises in order to increase the difficulty of the task. Seven segmentation systems from four different research groups were evaluated and combined. Their experimental results were analyzed and compared with the aim of providing a benchmark and showing up the promising directions in this field.
AB - Audio segmentation is important as a pre-processing task to improve the performance of many speech technology tasks and, therefore, it has an undoubted research interest. This paper describes the database, the metric, the systems and the results for the Albayzín-2014 audio segmentation campaign. In contrast to previous evaluations where the task was the segmentation of non-overlapping classes, Albayzín-2014 evaluation proposes the delimitation of the presence of speech, music and/or noise that can be found simultaneously. The database used in the evaluation was created by fusing different media and noises in order to increase the difficulty of the task. Seven segmentation systems from four different research groups were evaluated and combined. Their experimental results were analyzed and compared with the aim of providing a benchmark and showing up the promising directions in this field.
KW - Albayzín-2014 evaluation
KW - Audio segmentation
KW - Broadcast news
UR - http://www.scopus.com/inward/record.url?scp=84948954487&partnerID=8YFLogxK
U2 - 10.1186/s13636-015-0076-3
DO - 10.1186/s13636-015-0076-3
M3 - Article
VL - 2015
SP - 1
EP - 9
JO - Eurasip Journal on Audio, Speech, and Music Processing
JF - Eurasip Journal on Audio, Speech, and Music Processing
SN - 1687-4714
IS - 1
M1 - 33
ER -