Y. Simon and T. Heeb, “Direction Of Arrival estimation for acoustical sources using noise signals and a Uniform Circular Array,” in Proc. AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020), Aug. 2020, Paper 639. [Online]. Available: https://aes.org/publications/elibrary-page/?id=21184
Simon Y, Heeb T. Direction Of Arrival estimation for acoustical sources using noise signals and a Uniform Circular Array. In: AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020). Audio Engineering Society; 2020. Paper 639. Available from: https://aes.org/publications/elibrary-page/?id=21184
@inproceedings{Simon2020_21184,
author = {Simon, Yohann and Heeb, Thierry},
title = {{Direction Of Arrival estimation for acoustical sources using noise signals and a Uniform Circular Array}},
booktitle = {AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)},
note = {Paper 639},
year = {2020},
month = aug,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=21184}
}
TY - CPAPER
TI - Direction Of Arrival estimation for acoustical sources using noise signals and a Uniform Circular Array
AU - Simon, Yohann
AU - Heeb, Thierry
T2 - AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)
M1 - Paper 639
PY - 2020
DA - 2020/08/06
UR - https://aes.org/publications/elibrary-page/?id=21184
PB - Audio Engineering Society
LA - en
AB - This paper describes an effective and fast solution for estimating speaker direction of arrival in 3D space. The main idea is to use noise as an excitation signal for sources and to determine time of arrivals from recordings of 3D space distributed microphones. Up-sampling and interpolation are applied to improve times of arrivals estimation, which are then used to construct sinusoidal signals. Sine phases are determined from times of arrival estimations and the frequency is optimised from the physical sensors’ structure. Hence, speaker direction are predicted by beamforming and direction of arrival algorithms with a precision of two degrees in azimuth and five in elevation.
ER -