2026-04-17T04:20:04Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/124312025-07-17T01:51:44Zcom_2072_1033col_2072_452950

A hierarchical architecture with feature selection for audio segmentation in a broadcast news domain Butko, Taras Nadeu Camprubí, Climent 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 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) 2010 Conference report http://fala2010.uvigo.es/images/proceedings/index.html Open Access