Two-Stage Impulsive Noise Detection Using Inter-frame Correlation and Hidden Markov Model for Audio Restoration

Jeon KM, Lee DY, Park NI, Choi MK, Kim HK. Two-Stage Impulsive Noise Detection Using Inter-frame Correlation and Hidden Markov Model for Audio Restoration. In: AES Convention 136. Audio Engineering Society; 2014. Paper 9036. Available from: https://aes.org/publications/elibrary-page/?id=17183

@inproceedings{Jeon2014_17183,
  author = {Jeon, Kwang Myung and Lee, Dong Yun and Park, Nam In and Choi, Myung Kyu and Kim, Hong Kook},
  title = {{Two-Stage Impulsive Noise Detection Using Inter-frame Correlation and Hidden Markov Model for Audio Restoration}},
  booktitle = {AES Convention 136},
  note = {Paper 9036},
  year = {2014},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17183}
}

TY  - CPAPER
TI  - Two-Stage Impulsive Noise Detection Using Inter-frame Correlation and Hidden Markov Model for Audio Restoration
AU  - Jeon, Kwang Myung
AU  - Lee, Dong Yun
AU  - Park, Nam In
AU  - Choi, Myung Kyu
AU  - Kim, Hong Kook
T2  - AES Convention 136
M1  - Paper 9036
PY  - 2014
DA  - 2014/04/06
UR  - https://aes.org/publications/elibrary-page/?id=17183
PB  - Audio Engineering Society
LA  - en
AB  - In this paper a two-stage impulsive noise detection method is proposed to improve the quality of audio signals distorted by impulsive noise. In order to reduce false alarms and missing detection errors, the proposed method first tries to detect whether a frame includes onsets on the basis of inter-frame correlation. Next, hidden Markov model-based maximum likelihood classification is carried out to decide if the onset has occurred from impulsive noise or not. It is shown from performance evaluation that the proposed method achieves higher detection accuracy than with conventional residual domain-based methods under various impulsive noise distributions.
ER  -