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P. Coleman, P. Jackson, and J. Francombe, "Audio Object Separation Using Microphone Array Beamforming," Paper 9296, (2015 May.). doi: P. Coleman, P. Jackson, and J. Francombe, "Audio Object Separation Using Microphone Array Beamforming," Paper 9296, (2015 May.). doi:
Abstract: Audio production is moving toward an object-based approach, where content is represented as audio together with metadata that describe the sound scene. From current object definitions, it would usually be expected that the audio portion of the object is free from interfering sources. This poses a potential problem for object-based capture, if microphones cannot be placed close to a source. This paper investigates the application of microphone array beamforming to separate a mixture into distinct audio objects. Real mixtures recorded by a 48-channel microphone array in reflective rooms were separated, and the results were evaluated using perceptual models in addition to physical measures based on the beam pattern. The effect of interfering objects was reduced by applying the beamforming techniques.

@article{coleman2015audio,
author={coleman, philip and jackson, philip and francombe, jon},
journal={journal of the audio engineering society},
title={audio object separation using microphone array beamforming},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},} @article{coleman2015audio,
author={coleman, philip and jackson, philip and francombe, jon},
journal={journal of the audio engineering society},
title={audio object separation using microphone array beamforming},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={audio production is moving toward an object-based approach, where content is represented as audio together with metadata that describe the sound scene. from current object definitions, it would usually be expected that the audio portion of the object is free from interfering sources. this poses a potential problem for object-based capture, if microphones cannot be placed close to a source. this paper investigates the application of microphone array beamforming to separate a mixture into distinct audio objects. real mixtures recorded by a 48-channel microphone array in reflective rooms were separated, and the results were evaluated using perceptual models in addition to physical measures based on the beam pattern. the effect of interfering objects was reduced by applying the beamforming techniques.},}

TY - paper
TI - Audio Object Separation Using Microphone Array Beamforming
SP - EP -
AU - Coleman, Philip
AU - Jackson, Philip
AU - Francombe, Jon
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015 TY - paper
TI - Audio Object Separation Using Microphone Array Beamforming
SP - EP -
AU - Coleman, Philip
AU - Jackson, Philip
AU - Francombe, Jon
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015
AB - Audio production is moving toward an object-based approach, where content is represented as audio together with metadata that describe the sound scene. From current object definitions, it would usually be expected that the audio portion of the object is free from interfering sources. This poses a potential problem for object-based capture, if microphones cannot be placed close to a source. This paper investigates the application of microphone array beamforming to separate a mixture into distinct audio objects. Real mixtures recorded by a 48-channel microphone array in reflective rooms were separated, and the results were evaluated using perceptual models in addition to physical measures based on the beam pattern. The effect of interfering objects was reduced by applying the beamforming techniques.