Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation

no code implementations • 18 May 2023 • Yanjie Fu, Meng Ge, Honglong Wang, Nan Li, Haoran Yin, Longbiao Wang, Gaoyan Zhang, Jianwu Dang, Chengyun Deng, Fei Wang

Recently, stunning improvements on multi-channel speech separation have been achieved by neural beamformers when direction information is available.

Speech Separation

MIMO-DBnet: Multi-channel Input and Multiple Outputs DOA-aware Beamforming Network for Speech Separation

no code implementations • 7 Dec 2022 • Yanjie Fu, Haoran Yin, Meng Ge, Longbiao Wang, Gaoyan Zhang, Jianwu Dang, Chengyun Deng, Fei Wang

Recently, many deep learning based beamformers have been proposed for multi-channel speech separation.

Speech Separation

MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources

1 code implementation • 15 Jul 2022 • Haoran Yin, Meng Ge, Yanjie Fu, Gaoyan Zhang, Longbiao Wang, Lei Zhang, Lin Qiu, Jianwu Dang

These algorithms are usually achieved by mapping the multi-channel audio input to the single output (i. e. overall spatial pseudo-spectrum (SPS) of all sources), that is called MISO.

Iterative Sound Source Localization for Unknown Number of Sources

2 code implementations • 24 Jun 2022 • Yanjie Fu, Meng Ge, Haoran Yin, Xinyuan Qian, Longbiao Wang, Gaoyan Zhang, Jianwu Dang

Sound source localization aims to seek the direction of arrival (DOA) of all sound sources from the observed multi-channel audio.

Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes

no code implementations • 5 May 2020 • Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan

We examine the performance of our methods based on MNIST, Fashion-MNIST and CIFAR10 datasets.