no code implementations • 27 Feb 2024 • Xue Yang, Changchun Bao, Jing Zhou, Xianhong Chen
These weighting matrices reflect the similarity among different frames of the T-F representations and are further employed to obtain the consistent T-F representations of the enrollment.
no code implementations • 25 Feb 2024 • Chunxi Wang, Maoshen Jia, Meiran Li, Changchun Bao, Wenyu Jin
Dynamic parameterization of acoustic environments has drawn widespread attention in the field of audio processing.
no code implementations • 23 Sep 2023 • Chunxi Wang, Maoshen Jia, Meiran Li, Changchun Bao, Wenyu Jin
In recent years, dynamic parameterization of acoustic environments has raised increasing attention in the field of audio processing.
no code implementations • 28 Mar 2022 • Fengqi Tan, Changchun Bao
In this paper, minimum variance distortionless response (MVDR) beamformer and MCLP are effectively fused in the dereverberation, where the PSD of target speech used for Kalman filter is modified in the MCLP.
no code implementations • 28 Mar 2022 • Jing Zhou, Changchun Bao
One is that the sub-array decomposition is adopted to improve the accuracy of MSW-DOA estimation by minimizing the weighted error, and the other one is that the frequency focusing procedure is optimized according to the presence probability of sound sources for reducing the influence of the sub-bands with low signal to noise ratio (SNR).
no code implementations • 26 Mar 2022 • Yao Zhou, Changchun Bao
The packet loss problem seriously affects the quality of service in Voice over IP (VoIP) sceneries.
no code implementations • 25 Mar 2022 • Xue Yang, Changchun Bao
Various network architectures, from traditional convolutional neural network (CNN) and recurrent neural network (RNN) to advanced transformer, have been designed sophistically to improve separation performance.