An HRTF Based Approach towards Binaural Sound Source Localization

Sunder K, Wang Y. An HRTF Based Approach towards Binaural Sound Source Localization. In: AES Convention 147. Audio Engineering Society; 2019. Paper 10289. Available from: https://aes.org/publications/elibrary-page/?id=20662

@inproceedings{Sunder2019_20662,
  author = {Sunder, Kaushik and Wang, Yuxiang},
  title = {{An HRTF Based Approach towards Binaural Sound Source Localization}},
  booktitle = {AES Convention 147},
  note = {Paper 10289},
  year = {2019},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20662}
}

TY  - CPAPER
TI  - An HRTF Based Approach towards Binaural Sound Source Localization
AU  - Sunder, Kaushik
AU  - Wang, Yuxiang
T2  - AES Convention 147
M1  - Paper 10289
PY  - 2019
DA  - 2019/10/06
UR  - https://aes.org/publications/elibrary-page/?id=20662
PB  - Audio Engineering Society
LA  - en
AB  - With the evolution of smart headphones, hearables, and hearing aids there is a need for technologies to improve situational awareness. The device needs to constantly monitor the real world events and cue the listener to stay aware of the outside world. In this paper we develop a technique to identify the exact location of the dominant sound source using the unique spectral and temporal features listener’s head-related transfer functions (HRTFs). Unlike most state-of-the-art beamforming technologies, this method localizes the sound source using just two microphones thereby reducing the cost and complexity of this technology. An experimental framework is setup at the EmbodyVR anechoic chamber, and hearing aid recordings are carried out for several different trajectories, SNRs, and turn-rates. Results indicate that the source localization algorithms perform well for dynamic moving sources for different SNR levels.
ER  -