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Real-time multi-microphone recognition of simultaneous sounds in a room environment
dc.contributor.author | Chakraborty, Rupayan |
dc.contributor.author | Nadeu Camprubí, Climent |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2014-02-26T17:02:56Z |
dc.date.created | 2013 |
dc.date.issued | 2013 |
dc.identifier.citation | Chakraborty , 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. |
dc.identifier.isbn | 978-1-4799-0356-6 |
dc.identifier.uri | http://hdl.handle.net/2117/21771 |
dc.description.abstract | 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. |
dc.format.extent | 5 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic |
dc.subject.lcsh | Automatic speech recognition |
dc.subject.other | Sound recognition |
dc.subject.other | Acoustic event detection |
dc.subject.other | Overlapped events |
dc.subject.other | Microphone arrays |
dc.subject.other | Null-steering beamforming |
dc.title | Real-time multi-microphone recognition of simultaneous sounds in a room environment |
dc.type | Conference report |
dc.subject.lemac | Reconeixement automàtic de la parla |
dc.contributor.group | Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla |
dc.identifier.doi | 10.1109/ICASSP.2013.6639359 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06639359 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 12999051 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Chakraborty , R.; Nadeu, C. |
local.citation.contributor | IEEE International Conference on Acoustics, Speech, and Signal Processing |
local.citation.pubplace | Vancouver |
local.citation.publicationName | 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing: proceedings: May 26-31, 2013: Vancouver Convention Center: Vancouver, British Columbia, Canada |
local.citation.startingPage | 8672 |
local.citation.endingPage | 8676 |