Two-source acoustic event detection and localization: online implementation in a smart-room

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/14816

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.contributor.author	Butko, Taras
dc.contributor.author	Gonzalez Pla, Fran
dc.contributor.author	Segura Perales, Carlos
dc.contributor.author	Nadeu Camprubí, Climent
dc.contributor.author	Hernando Pericás, Francisco Javier
dc.date	2011
dc.identifier.citation	Butko, T. [et al.]. Two-source acoustic event detection and localization: online implementation in a smart-room. A: European Signal Processing Conference. "17th European Signal Processing Conference (EUSIPCO’11)". Barcelona: 2011, p. 1317-1321.
dc.identifier.uri	http://hdl.handle.net/2117/14816
dc.language.iso	eng
dc.relation	http://www.eurasip.org/Proceedings/Eusipco/Eusipco2011/papers/1569427447.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament del senyal en les telecomunicacions
dc.subject	Signal processing
dc.subject	Tractament del senyal
dc.title	Two-source acoustic event detection and localization: online implementation in a smart-room
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Real-time processing is a requirement for many practical signal processing applications. In this work we implemented online 2-source acoustic event detection and localization algorithms in a Smart-room, a closed space equipped with multiple microphones. Acoustic event detection is based on HMMs that enable to process the input audio signal with very low latency; acoustic source localization is based on the SRP-PHAT localization method which is known to per-form robustly in most scenarios. The experimental results from online tests show high recognition accuracy for most of acoustic events both isolated and overlapped with speech.
dc.description.abstract	Peer Reviewed

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