Exploiting Motion information in Sound Source Localization and Tracking

Wu D, Wu X, Qu T. Exploiting Motion information in Sound Source Localization and Tracking. In: Convention Paper. Audio Engineering Society; 2024. Paper 10687. Available from: https://aes.org/publications/elibrary-page/?id=22500

@inproceedings{Wu2024_22500,
  author = {Wu, Donghang and Wu, Xihong and Qu, Tianshu},
  title = {{Exploiting Motion information in Sound Source Localization and Tracking}},
  note = {Paper 10687},
  year = {2024},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22500}
}

TY  - CPAPER
TI  - Exploiting Motion information in Sound Source Localization and Tracking
AU  - Wu, Donghang
AU  - Wu, Xihong
AU  - Qu, Tianshu
M1  - Paper 10687
PY  - 2024
DA  - 2024/06/06
UR  - https://aes.org/publications/elibrary-page/?id=22500
PB  - Audio Engineering Society
LA  - en
AB  - Deep neural networks can be employed for estimating the direction of arrival (DOA) of individual sound sources from audio signals. Existing methods mostly focus on estimating the DOA of each source on individual frames, without utilizing the motion information of the sources. This paper proposes a method for estimating trajectories of sources, leveraging the differential of trajectories across different time scales. Additionally, a neural network is employed for enhancing the trajectories wrongly estimated especially for sound sources with low-energy. Experimental evaluations conducted on simulated dataset validate that the proposed method achieves more precise localization and tracking performance and encounters less interference when the sound source energy is low.
ER  -