Direction of Arrival Estimation of Multiple Sound Sources Based on Frequency-Domain Minimum Variance Distortionless Response Beamforming

Yu SW, Jeon KM, Lee DY, Kim HK. Direction of Arrival Estimation of Multiple Sound Sources Based on Frequency-Domain Minimum Variance Distortionless Response Beamforming. In: AES Convention 138. Audio Engineering Society; 2015. Paper 9299. Available from: https://aes.org/publications/elibrary-page/?id=17723

@inproceedings{Yu2015_17723,
  author = {Yu, Seung Woo and Jeon, Kwang Myung and Lee, Dong Yun and Kim, Hong Kook},
  title = {{Direction of Arrival Estimation of Multiple Sound Sources Based on Frequency-Domain Minimum Variance Distortionless Response Beamforming}},
  booktitle = {AES Convention 138},
  note = {Paper 9299},
  year = {2015},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17723}
}

TY  - CPAPER
TI  - Direction of Arrival Estimation of Multiple Sound Sources Based on Frequency-Domain Minimum Variance Distortionless Response Beamforming
AU  - Yu, Seung Woo
AU  - Jeon, Kwang Myung
AU  - Lee, Dong Yun
AU  - Kim, Hong Kook
T2  - AES Convention 138
M1  - Paper 9299
PY  - 2015
DA  - 2015/05/06
UR  - https://aes.org/publications/elibrary-page/?id=17723
PB  - Audio Engineering Society
LA  - en
AB  - In this paper a method for estimating the direction-of-arrivals (DOAs) of multiple non-stationary sound sources is proposed on the basis of a frequency-domain minimum variance distortionless response (FD-MVDR) beamformer. First, an FD-MVDR beamformer is applied to multiple sound sources, where the beamformer weights are updated according to the surrounding environments for the reduction of the sidelobe effect of the beamformer. Then, multistage DOA estimation is performed to reduce computational complexity regarding the beam search. Finally, a median filter is applied to improve the DOA estimation accuracy. It is demonstrated that the average DOA estimation error of the proposed method is smaller than those of the methods based on conventional GCC-PHAT, MVDR-PHAT, and FD-MVDR, with lower computational complexity than that of the conventional FD-MVDR-based DOA estimation method.
ER  -