63 citations · 67 across the 5 of their papers we have counts for
5 papers
Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation
Yanjie Fu, Meng Ge, Honglong Wang +7
Recently, stunning improvements on multi-channel speech separation have been achieved by neural beamformers when direction information is available. However, most of them neglect t…
MIMO-DBnet: Multi-channel Input and Multiple Outputs DOA-aware Beamforming Network for Speech Separation
Yanjie Fu, Haoran Yin, Meng Ge +5
Recently, many deep learning based beamformers have been proposed for multi-channel speech separation. Nevertheless, most of them rely on extra cues known in advance, such as speak…
MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources
Haoran Yin, Meng Ge, Yanjie Fu +5
Recent neural network based Direction of Arrival (DoA) estimation algorithms have performed well on unknown number of sound sources scenarios. These algorithms are usually achieved…
Iterative Sound Source Localization for Unknown Number of Sources
Yanjie Fu, Meng Ge, Haoran Yin +4
Sound source localization aims to seek the direction of arrival (DOA) of all sound sources from the observed multi-channel audio. For the practical problem of unknown number of sou…
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes
Qiang Yu, Chenxiang Ma, Shiming Song +3
Spiking neural networks (SNNs) are considered as a potential candidate to overcome current challenges such as the high-power consumption encountered by artificial neural networks (…