Search Results for author: Changchun Bao

Found 7 papers, 0 papers with code

Target Speaker Extraction by Directly Exploiting Contextual Information in the Time-Frequency Domain

no code implementations27 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.

Target Speaker Extraction

Exploring the Power of Pure Attention Mechanisms in Blind Room Parameter Estimation

no code implementations25 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.

Data Augmentation Transfer Learning

Attention Is All You Need For Blind Room Volume Estimation

no code implementations23 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.

Data Augmentation Transfer Learning

An Effective Dereverberation Algorithm by Fusing MVDR and MCLP

no code implementations28 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.

Blocking

Multi-source wideband doa estimation method by frequency focusing and error weighting

no code implementations28 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).

A Neural Vocoder Based Packet Loss Concealment Algorithm

no code implementations26 Mar 2022 Yao Zhou, Changchun Bao

The packet loss problem seriously affects the quality of service in Voice over IP (VoIP) sceneries.

Packet Loss Concealment

Embedding Recurrent Layers with Dual-Path Strategy in a Variant of Convolutional Network for Speaker-Independent Speech Separation

no code implementations25 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.

Computational Efficiency Speech Separation

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