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Audio segmentation of broadcast news : a hierarchical system with feature selection for the Albayzin-2010 evaluation
Butko, Taras; Nadeu Camprubí, Climent
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
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.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic
Hidden Markov models
Audio signal processing
Broadcasting
Model ocult de Markov
Albayzin 2010
So -- Processament de dades
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
IEEE Press. Institute of Electrical and Electronics Engineers
         

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