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- W2156839033 abstract "In this paper, we present an audio segmentation system for broadcast news, and its results in the Albayzin-2010 evaluation. First of all, the Albayzin-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." @default.
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- W2156839033 date "2011-05-01" @default.
- W2156839033 modified "2023-09-26" @default.
- W2156839033 title "Audio segmentation of broadcast news: A hierarchical system with feature selection for the Albayzin-2010 evaluation" @default.
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- W2156839033 doi "https://doi.org/10.1109/icassp.2011.5946414" @default.
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