C. Zheng, X. Chen, S. Wang, R. Peng, and X. Li, “Delayless Method to Suppress Transient Noise Using Speech Properties and Spectral Coherence,” in Proc. AES Convention 135, Oct. 2013, Paper 8979. [Online]. Available: https://aes.org/publications/elibrary-page/?id=17027
Zheng C, Chen X, Wang S, Peng R, Li X. Delayless Method to Suppress Transient Noise Using Speech Properties and Spectral Coherence. In: AES Convention 135. Audio Engineering Society; 2013. Paper 8979. Available from: https://aes.org/publications/elibrary-page/?id=17027
@inproceedings{Zheng2013_17027,
author = {Zheng, Chengshi and Chen, Xiaoliang and Wang, Shiwei and Peng, Renhua and Li, Xiaodong},
title = {{Delayless Method to Suppress Transient Noise Using Speech Properties and Spectral Coherence}},
booktitle = {AES Convention 135},
note = {Paper 8979},
year = {2013},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=17027}
}
TY - CPAPER
TI - Delayless Method to Suppress Transient Noise Using Speech Properties and Spectral Coherence
AU - Zheng, Chengshi
AU - Chen, Xiaoliang
AU - Wang, Shiwei
AU - Peng, Renhua
AU - Li, Xiaodong
T2 - AES Convention 135
M1 - Paper 8979
PY - 2013
DA - 2013/10/06
UR - https://aes.org/publications/elibrary-page/?id=17027
PB - Audio Engineering Society
LA - en
AB - This paper proposes a novel delayless transient noise reduction method that is based on speech properties and spectral coherence. The proposed method has three stages. First, the transient noise components are detected in each subband by using energy-normalized variance. Second, we apply the harmonic property of the voiced speech and the continuity of the speech signal to reduce speech distortion in voiced speech segments. Third, we define a new spectral coherence to distinguish the unvoiced speech from the transient noise to avoid suppressing the unvoiced speech. Compared with those existing methods, the proposed method is computationally efficient and casual. Experimental results show that the proposed algorithm can effectively suppress transient noise up to 30 dB without introducing audible speech distortion.
ER -