A Steered-Beamforming Method for Low-Latency Direction-of-Arrival Estimation in Reverberant Environments Using Spherical Microphone Arrays

Mathews J, Braasch J. A Steered-Beamforming Method for Low-Latency Direction-of-Arrival Estimation in Reverberant Environments Using Spherical Microphone Arrays. In: AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020). Audio Engineering Society; 2020. Paper 10493. Available from: https://aes.org/publications/elibrary-page/?id=21170

@inproceedings{Mathews2020_21170,
  author = {Mathews, Jonathan and Braasch, Jonas},
  title = {{A Steered-Beamforming Method for Low-Latency Direction-of-Arrival Estimation in Reverberant Environments Using Spherical Microphone Arrays}},
  booktitle = {AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)},
  note = {Paper 10493},
  year = {2020},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21170}
}

TY  - CPAPER
TI  - A Steered-Beamforming Method for Low-Latency Direction-of-Arrival Estimation in Reverberant Environments Using Spherical Microphone Arrays
AU  - Mathews, Jonathan
AU  - Braasch, Jonas
T2  - AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)
M1  - Paper 10493
PY  - 2020
DA  - 2020/08/06
UR  - https://aes.org/publications/elibrary-page/?id=21170
PB  - Audio Engineering Society
LA  - en
AB  - This paper introduces a method to estimate the direction of arrival of an acoustic signal based on finding maximum power in iteratively reduced regions of a spherical surface. A plane wave decomposition beamformer is used to produce power estimates at sparsely distributed points on the sphere. Iterating beam orientation based on the orientation of maximum energy produces accurate localization results. The method is tested using varying reverberation times, source-receiver distances, and angular separation of multiple sources and compared against a pseudo-intensity vector estimator. Results demonstrate that this method is suitable for integration into real-time telematic frameworks, especially in reverberant conditions.
ER  -