3D Multiple Sound Source Localization With Multiple Spherical Microphone Arrays Via Residual Energy Test

Hacihabiboglu H, Olgun O, Erdem E. 3D Multiple Sound Source Localization With Multiple Spherical Microphone Arrays Via Residual Energy Test. In: Convention Paper. Audio Engineering Society; 2024. Paper 10712. Available from: https://aes.org/publications/elibrary-page/?id=22525

@inproceedings{Hacihabiboglu2024_22525,
  author = {Hacihabiboglu, Hüseyin and Olgun, Orhun and Erdem, Ege},
  title = {{3D Multiple Sound Source Localization With Multiple Spherical Microphone Arrays Via Residual Energy Test}},
  note = {Paper 10712},
  year = {2024},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22525}
}

TY  - CPAPER
TI  - 3D Multiple Sound Source Localization With Multiple Spherical Microphone Arrays Via Residual Energy Test
AU  - Hacihabiboglu, Hüseyin
AU  - Olgun, Orhun
AU  - Erdem, Ege
M1  - Paper 10712
PY  - 2024
DA  - 2024/06/06
UR  - https://aes.org/publications/elibrary-page/?id=22525
PB  - Audio Engineering Society
LA  - en
AB  - Localization of sound sources in three dimensions is an essential component of immersive audio applications that use an object-based approach. Typically, sound sources are localized by triangulating direction of arrival (DOA) estimates from multiple, spatially distributed microphone arrays. We present an alternative approach operating on time-frequency representations of the steered response functions (SRF) obtained from spherical microphone array (SMA) signals. The method relies on the identification of bins that predominantly include a single source via the residual energy test (RENT) using a combined dictionary designed for multiple SMAs. DOAs of sources are then obtained by clustering individual DOA estimates at each time-frequency bin. The distances of sound sources are estimated via ternary search in the direction of the identified DOA vector. We show the utility of the proposed method under highly reverberant conditions by an example using three SMAs.
ER  -