Real-time multi-microphone recognition of simultaneous sounds in a room environment
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
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.
CitationChakraborty , 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.
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