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Audio segmentation of broadcast news: A hierarchical system with feature selection for the Albayzin-2010 evaluation

By: Nadeu, C.; Butko, T.;

2011 / IEEE / 978-1-4577-0539-7

Description

This item was taken from the IEEE Conference ' Audio segmentation of broadcast news: A hierarchical system with feature selection for the Albayzin-2010 evaluation ' In this paper, we present an audio segmentation system for broadcast news, and its results in the Albayz�2010 evaluation. First of all, the Albayz�2010 evaluation setup, developed by the authors, is presented; in particular, the database and the metric are described. The reported hierarchical HMM-GMM-based system is composed of one binary detector for each of the five considered classes (music, speech, speech over music, speech over noise and other). A fast one-pass-training feature selection technique is adapted to the audio segmentation task to improve the results and to reduce the dimensionality of the input feature vector.