Improved Localization of Sound Sources Using Multi-Band Processing of Ambisonic Components

Dimoulas C, Kalliris G, Avdelidis K, Papanikolaou G. Improved Localization of Sound Sources Using Multi-Band Processing of Ambisonic Components. In: AES Convention 126. Audio Engineering Society; 2009. Paper 7691. Available from: https://aes.org/publications/elibrary-page/?id=14887

@inproceedings{Dimoulas2009_14887,
  author = {Dimoulas, Charalampos and Kalliris, George and Avdelidis, Konstantinos and Papanikolaou, George},
  title = {{Improved Localization of Sound Sources Using Multi-Band Processing of Ambisonic Components}},
  booktitle = {AES Convention 126},
  note = {Paper 7691},
  year = {2009},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14887}
}

TY  - CPAPER
TI  - Improved Localization of Sound Sources Using Multi-Band Processing of Ambisonic Components
AU  - Dimoulas, Charalampos
AU  - Kalliris, George
AU  - Avdelidis, Konstantinos
AU  - Papanikolaou, George
T2  - AES Convention 126
M1  - Paper 7691
PY  - 2009
DA  - 2009/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14887
PB  - Audio Engineering Society
LA  - en
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.
ER  -