Three-Dimensional Sound Field Analysis with Directional Audio Coding Based on Signal Adaptive Parameter Estimators

Del Galdo G, Kuech F, Prus M, Thiergart O. Three-Dimensional Sound Field Analysis with Directional Audio Coding Based on Signal Adaptive Parameter Estimators. In: AES Conference: 40th International Conference: Spatial Audio: Sense the Sound of Space. Audio Engineering Society; 2010. Paper 5-1. Available from: https://aes.org/publications/elibrary-page/?id=15558

@inproceedings{DelGaldo2010_15558,
  author = {Del Galdo, Giovanni and Kuech, Fabian and Prus, Magdalena and Thiergart, Oliver},
  title = {{Three-Dimensional Sound Field Analysis with Directional Audio Coding Based on Signal Adaptive Parameter Estimators}},
  booktitle = {AES Conference: 40th International Conference: Spatial Audio: Sense the Sound of Space},
  note = {Paper 5-1},
  year = {2010},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15558}
}

TY  - CPAPER
TI  - Three-Dimensional Sound Field Analysis with Directional Audio Coding Based on Signal Adaptive Parameter Estimators
AU  - Del Galdo, Giovanni
AU  - Kuech, Fabian
AU  - Prus, Magdalena
AU  - Thiergart, Oliver
T2  - AES Conference: 40th International Conference: Spatial Audio: Sense the Sound of Space
M1  - Paper 5-1
PY  - 2010
DA  - 2010/10/06
UR  - https://aes.org/publications/elibrary-page/?id=15558
PB  - Audio Engineering Society
LA  - en
AB  - Directional audio coding (DirAC) provides an efficient description of spatial sound in terms of an audio downmix signal and parametric side information, namely the direction of arrival and diffuseness of sound. The sound scene can be reproduced based on this information with any audio reproduction system such as multichannel playback or binaural rendering. Input to the DirAC analysis are acoustic signals, e.g., captured by a microphone array. The accuracy of the DirAC parameter estimation can suffer from a low signal-to-noise ratio (SNR) and a high temporal variance of the input signals. To handle these problems, this contribution proposes signal adaptive parameter estimators which increase the estimation accuracy by considering the SNR and the stationarity interval of the input. Simulations show that the DirAC analysis is significantly improved.
ER  -