TY - GEN
T1 - Dereverberation with differential microphone arrays and the weighted-prediction-error method
AU - Yang, Wenxing
AU - Huang, Gongping
AU - Zhang, Wen
AU - Chen, Jingdong
AU - Benesty, Jacob
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/2
Y1 - 2018/11/2
N2 - Reverberation is one of the most detrimental effects on the quality and performance of hands-free speech communication and human-machine interfaces. Among different approaches investigated in the literature, the weighted-prediction-error (WPE) method has exhibited some promising potential for dealing with reverberation. However, the WPE is highly sensitive to additive noise and the presence of even small levels of noise can cause significant performance degradation to WPE. To improve the robustness of this technique, we study in this paper the combination of WPE and differential microphone arrays (DMAs), resulting a DMA-WPE method. Our approach is as follows. A DMA is used to pick up the sound signal of interest in noisy and reverberant environments. The microphone signals are processed with a differential beamformer to suppress noise, interference, and reverberation. The output of the differential beamformer is then used as the reference signal for WPE to further perform dereverberation. Simulation results demonstrate that the DMA-WPE method outperforms WPE significantly in all the studied conditions.
AB - Reverberation is one of the most detrimental effects on the quality and performance of hands-free speech communication and human-machine interfaces. Among different approaches investigated in the literature, the weighted-prediction-error (WPE) method has exhibited some promising potential for dealing with reverberation. However, the WPE is highly sensitive to additive noise and the presence of even small levels of noise can cause significant performance degradation to WPE. To improve the robustness of this technique, we study in this paper the combination of WPE and differential microphone arrays (DMAs), resulting a DMA-WPE method. Our approach is as follows. A DMA is used to pick up the sound signal of interest in noisy and reverberant environments. The microphone signals are processed with a differential beamformer to suppress noise, interference, and reverberation. The output of the differential beamformer is then used as the reference signal for WPE to further perform dereverberation. Simulation results demonstrate that the DMA-WPE method outperforms WPE significantly in all the studied conditions.
KW - Beamformings
KW - Dereverberation
KW - Differential microphone arrays
KW - Weighted prediction error
UR - https://www.scopus.com/pages/publications/85057425497
U2 - 10.1109/IWAENC.2018.8521286
DO - 10.1109/IWAENC.2018.8521286
M3 - 会议稿件
AN - SCOPUS:85057425497
T3 - 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings
SP - 376
EP - 380
BT - 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018
Y2 - 17 September 2018 through 20 September 2018
ER -