Temporal Coherence-Based Howling Detection for Speech Applications

Zheng C, Liu H, Peng R, Li X. Temporal Coherence-Based Howling Detection for Speech Applications. In: AES Convention 133. Audio Engineering Society; 2012. Paper 8797. Available from: https://aes.org/publications/elibrary-page/?id=16539

@inproceedings{Zheng2012_16539,
  author = {Zheng, Chengshi and Liu, Hao and Peng, Renhua and Li, Xiaodong},
  title = {{Temporal Coherence-Based Howling Detection for Speech Applications}},
  booktitle = {AES Convention 133},
  note = {Paper 8797},
  year = {2012},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16539}
}

TY  - CPAPER
TI  - Temporal Coherence-Based Howling Detection for Speech Applications
AU  - Zheng, Chengshi
AU  - Liu, Hao
AU  - Peng, Renhua
AU  - Li, Xiaodong
T2  - AES Convention 133
M1  - Paper 8797
PY  - 2012
DA  - 2012/10/06
UR  - https://aes.org/publications/elibrary-page/?id=16539
PB  - Audio Engineering Society
LA  - en
AB  - This paper proposes a novel howling detection criterion for speech applications, which is based on temporal coherence (will be referred as TCHD). The proposed TCHD criterion is based on the fact that the speech only has a relatively short coherence time, while the coherence times of the true howling components are nearly infinite since the howling components are perfectly correlated with themselves for large delays. The proposed TCHD criterion is computationally efficient for two reasons. First, the fast Fourier transform (FFT) can be applied directly to compute the temporal coherence. Second, the proposed TCHD criterion does not need to identify spectral peaks from the raw periodogram of the microphone signal. Simulation and experimental results show the validity of the proposed TCHD criterion.
ER  -