Short-term Rule of Two: Localizing Non-Stationary Noise Events in Swept-Sine Measurements

Prawda K, Schlecht SJ, Välimäki V. Short-term Rule of Two: Localizing Non-Stationary Noise Events in Swept-Sine Measurements. In: AES Convention 154. Audio Engineering Society; 2023. Paper 10636. Available from: https://aes.org/publications/elibrary-page/?id=22043

@inproceedings{Prawda2023_22043,
  author = {Prawda, Karolina and Schlecht, Sebastian J. and Välimäki, Vesa},
  title = {{Short-term Rule of Two: Localizing Non-Stationary Noise Events in Swept-Sine Measurements}},
  booktitle = {AES Convention 154},
  note = {Paper 10636},
  year = {2023},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22043}
}

TY  - CPAPER
TI  - Short-term Rule of Two: Localizing Non-Stationary Noise Events in Swept-Sine Measurements
AU  - Prawda, Karolina
AU  - Schlecht, Sebastian J.
AU  - Välimäki, Vesa
T2  - AES Convention 154
M1  - Paper 10636
PY  - 2023
DA  - 2023/05/06
UR  - https://aes.org/publications/elibrary-page/?id=22043
PB  - Audio Engineering Society
LA  - en
AB  - Non-stationary noise is notoriously detrimental to room impulse response (RIR) measurements using exponential sine sweeps (ESSs). This work proposes an extension to a method of detecting non-stationary events in ESS measurements that aims at precise localization of the disturbance in the captured signal. The technique uses short-term running cross-correlation as a means to estimate the instantaneous correlation between two sweep signals. Both, the detection threshold and measured correlation, are evaluated on short windows, allowing for accurate analysis of the entire signal. Additional pre-processing steps are applied to improve the robustness of the proposed technique. The approach is tested on various types of simulated and measured non-stationary noise, showing that detection errors did not exceed 23 ms. The method presented in this work increases the robustness of RIR measurements using ESS against non-stationary noise.
ER  -