Adaptive Source Separation Based on Reliability of Spatial Feature Using Multichannel Acoustic Observations

Mizumachi M. Adaptive Source Separation Based on Reliability of Spatial Feature Using Multichannel Acoustic Observations. In: AES Convention 128. Audio Engineering Society; 2010. Paper 8133. Available from: https://aes.org/publications/elibrary-page/?id=15430

@inproceedings{Mizumachi2010_15430,
  author = {Mizumachi, Mitsunori},
  title = {{Adaptive Source Separation Based on Reliability of Spatial Feature Using Multichannel Acoustic Observations}},
  booktitle = {AES Convention 128},
  note = {Paper 8133},
  year = {2010},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15430}
}

TY  - CPAPER
TI  - Adaptive Source Separation Based on Reliability of Spatial Feature Using Multichannel Acoustic Observations
AU  - Mizumachi, Mitsunori
T2  - AES Convention 128
M1  - Paper 8133
PY  - 2010
DA  - 2010/05/06
UR  - https://aes.org/publications/elibrary-page/?id=15430
PB  - Audio Engineering Society
LA  - en
AB  - Separation of sound source can be achieved by spatial filtering with multi-channel acoustic observations. However, the right algorithm should be prepared in each condition of acoustic scene. It is difficult to provide the suitable algorithm under real acoustic environments. In this paper, an adaptive source separation scheme is proposed based on the reliability of a spatial feature, which gives an estimate of direction of arrival (DOA). As confidence measures for DOA estimates, the third and fourth moments for spatial features are employed to measure how sharp the main-lobes of spatial features are. This paper proposes to selectively use either spatial filters or frequency-selective filters without spatial filtering depending on the reliability of each DOA estimate.
ER  -