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Model-based processing for acoustic scene analysis
Nadeu Camprubí, Climent; Chakraborty, Rupayan; Wolf, Martin
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
The analysis of acoustic scenes requires several functionalities, being perhaps recognition (speech, speaker, other acoustic events) and spatial localization the two most relevant ones. For a reduced invasiveness, the microphones are far away from the sound sources, and possibly grouped in arrays, which may be distributed, not arranged, in the room. Aiming at an increased performance, the usual model- based approach employed for sound recognition or detection can be extended to other co-occurrent tasks like source localization, so both tasks can be carried out jointly, using the same formulation and processing. In this paper, we intend to illustrate that point by presenting together a few new model-based techniques that deal with the problems of overlapped-sounds recognition, multi-source localization, and channel selection. They are briefly described, and tested in a smart-room environment with a multiple microphone- array setup.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
Signal processing
Acoustic scene analysis
Audio recognition
Acoustic source localization
Channel selection
Multi- microphone processing
Tractament del senyal
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Institute of Electrical and Electronics Engineers (IEEE)
         

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