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C. Dimoulas, G. Kalliris, K. Avdelidis, and G. Papanikolaou, "Improved Localization of Sound Sources Using Multi-Band Processing of Ambisonic Components," Paper 7691, (2009 May.). doi: C. Dimoulas, G. Kalliris, K. Avdelidis, and G. Papanikolaou, "Improved Localization of Sound Sources Using Multi-Band Processing of Ambisonic Components," Paper 7691, (2009 May.). doi:
Abstract: The current paper focuses on the use of multi-band ambisonic-processing for improved sound source localization. Energy-based localization can be easily delivered using soundfield microphone pairs, as long as free field conditions and the single omni-directional-point-source model apply. Multi-band SNR-based selective processing improves the noise tolerance and the localization accuracy, eliminating the influence of reverberation and background noise. Band-related sound-localization statistics are further exploited to verify the single or multiple sound-sources scenario, while continuous spectral fingerprinting indicates the potential arrival of a new source. Different sound-excitation scenarios are examined (single /multiple sources, narrowband / wideband signals, time-overlapping, noise, reverberation). Various time-frequency analysis schemes are considered, including filter-banks, windowed-FFT and wavelets with different time resolutions. Evaluation results are presented.

@article{dimoulas2009improved,
author={dimoulas, charalampos and kalliris, george and avdelidis, konstantinos and papanikolaou, george},
journal={journal of the audio engineering society},
title={improved localization of sound sources using multi-band processing of ambisonic components},
year={2009},
volume={},
number={},
pages={},
doi={},
month={may},} @article{dimoulas2009improved,
author={dimoulas, charalampos and kalliris, george and avdelidis, konstantinos and papanikolaou, george},
journal={journal of the audio engineering society},
title={improved localization of sound sources using multi-band processing of ambisonic components},
year={2009},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={the current paper focuses on the use of multi-band ambisonic-processing for improved sound source localization. energy-based localization can be easily delivered using soundfield microphone pairs, as long as free field conditions and the single omni-directional-point-source model apply. multi-band snr-based selective processing improves the noise tolerance and the localization accuracy, eliminating the influence of reverberation and background noise. band-related sound-localization statistics are further exploited to verify the single or multiple sound-sources scenario, while continuous spectral fingerprinting indicates the potential arrival of a new source. different sound-excitation scenarios are examined (single /multiple sources, narrowband / wideband signals, time-overlapping, noise, reverberation). various time-frequency analysis schemes are considered, including filter-banks, windowed-fft and wavelets with different time resolutions. evaluation results are presented.},}

TY - paper
TI - Improved Localization of Sound Sources Using Multi-Band Processing of Ambisonic Components
SP - EP -
AU - Dimoulas, Charalampos
AU - Kalliris, George
AU - Avdelidis, Konstantinos
AU - Papanikolaou, George
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2009 TY - paper
TI - Improved Localization of Sound Sources Using Multi-Band Processing of Ambisonic Components
SP - EP -
AU - Dimoulas, Charalampos
AU - Kalliris, George
AU - Avdelidis, Konstantinos
AU - Papanikolaou, George
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2009
AB - The current paper focuses on the use of multi-band ambisonic-processing for improved sound source localization. Energy-based localization can be easily delivered using soundfield microphone pairs, as long as free field conditions and the single omni-directional-point-source model apply. Multi-band SNR-based selective processing improves the noise tolerance and the localization accuracy, eliminating the influence of reverberation and background noise. Band-related sound-localization statistics are further exploited to verify the single or multiple sound-sources scenario, while continuous spectral fingerprinting indicates the potential arrival of a new source. Different sound-excitation scenarios are examined (single /multiple sources, narrowband / wideband signals, time-overlapping, noise, reverberation). Various time-frequency analysis schemes are considered, including filter-banks, windowed-FFT and wavelets with different time resolutions. Evaluation results are presented.