Real-time multi-microphone recognition of simultaneous sounds in a room environment
Tipo de documentoTexto en actas de congreso
Fecha de publicación2013
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condiciones de accesoAcceso restringido por política de la editorial
Time overlapping of acoustic signals, which so often occurs in real life, is a challenge for current state-of-the-art sound recognition systems. In this work, we propose an approach for detecting, identifying and positioning a set of simultaneous acoustic events in a room environment, using multiple arbitrarily-located microphone arrays, and working in real time. Assuming a set of estimated acoustic source positions, the use of a frequency invariant nullsteering beamformer for each position and each array yields a set of signals which show different balances among the various acoustic sources. For each signal, a model-based likelihood computation is carried out to obtain a matrix of likelihood scores. Then a MAP criterion is used to jointly detect the event classes and assign each of them to a given source position. Experimental results with two sources, one of which is speech, and two threemicrophone linear arrays are reported, and a comparison with alternatives approaches is carried out.
CitaciónChakraborty , R.; Nadeu, C. Real-time multi-microphone recognition of simultaneous sounds in a room environment. A: IEEE International Conference on Acoustics, Speech, and Signal Processing. "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing: proceedings: May 26-31, 2013: Vancouver Convention Center: Vancouver, British Columbia, Canada". Vancouver: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 8672-8676.
Versión del editorhttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06639359
|Realtime multim ... in a room environment.pdf||Realtime multimicrophone recognition of simultaneous sounds in a room environment||742.5Kb||Acceso restringido|