Universitat Politècnica de Catalunya
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
2010
This work presents a hierarchical HMM-based audio segmentation system with feature selection designed for the Albayzin 2010 Evaluations. We propose an architecture that combines the outputs of individual binary detectors which were trained with a specific class-dependent feature set adapted to the characteristics of each class. A fast one-pass-training wrapper-based technique was used to perform a feature selection and an improvement in average accuracy with respect to using the whole set of features is reported.
Peer Reviewed
Postprint (published version)
Conference report
English
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic; Audio segmentation; Albayzin 2010; So -- Processament de dades
http://fala2010.uvigo.es/images/proceedings/index.html
Open Access
E-prints [72986]
