TY - GEN
T1 - Binaural dereverberation based on delayed widely linear prediction in the time domain
AU - Leng, Xin
AU - Chen, Jingdong
AU - Benesty, Jacob
N1 - Publisher Copyright:
© 2019 Proceedings of the International Congress on Acoustics. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Sound spatial information benefits human listeners in reverberant environments. This paper deals with the problem of binaural dereverberation, which reduces reverberation and meanwhile preserves the sound spatial information at the binaural outputs. A widely linear (WL) filtering framework is adopted where the multiple real microphone signals are merged into complex signals. The desired binaural outputs are also converted into complex signals with one channel being its real part, and the other channel being its imaginary part. By doing so, we transform the problem of binaural dereverberation to one of monaural dereverberation. In such a framework, the complex late reverberation is modeled using the multichannel delayed WL prediction by fully taking advantage of the noncircularity of the complex signals. A maximum likelihood method is then developed to estimate the optimal prediction filter with the speech signal of interest being modeled by a complex normal distribution. The relationship between the proposed method and the weighted prediction error (WPE) method is also discussed. Finally, simulation results are provided to justify the effectiveness of the developed method.
AB - Sound spatial information benefits human listeners in reverberant environments. This paper deals with the problem of binaural dereverberation, which reduces reverberation and meanwhile preserves the sound spatial information at the binaural outputs. A widely linear (WL) filtering framework is adopted where the multiple real microphone signals are merged into complex signals. The desired binaural outputs are also converted into complex signals with one channel being its real part, and the other channel being its imaginary part. By doing so, we transform the problem of binaural dereverberation to one of monaural dereverberation. In such a framework, the complex late reverberation is modeled using the multichannel delayed WL prediction by fully taking advantage of the noncircularity of the complex signals. A maximum likelihood method is then developed to estimate the optimal prediction filter with the speech signal of interest being modeled by a complex normal distribution. The relationship between the proposed method and the weighted prediction error (WPE) method is also discussed. Finally, simulation results are provided to justify the effectiveness of the developed method.
KW - Binaural dereverberation
KW - Delayed linear prediction
KW - Spatial information preservation
KW - Widely linear estimation
UR - http://www.scopus.com/inward/record.url?scp=85099330393&partnerID=8YFLogxK
U2 - 10.18154/RWTH-CONV-239870
DO - 10.18154/RWTH-CONV-239870
M3 - 会议稿件
AN - SCOPUS:85099330393
T3 - Proceedings of the International Congress on Acoustics
SP - 4924
EP - 4931
BT - Proceedings of the 23rd International Congress on Acoustics
A2 - Ochmann, Martin
A2 - Michael, Vorlander
A2 - Fels, Janina
PB - International Commission for Acoustics (ICA)
T2 - 23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019
Y2 - 9 September 2019 through 23 September 2019
ER -