5 citations · 7 across the 4 of their papers we have counts for
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eess.AS2022★ 1 cited
Simultaneous Speech Extraction for Multiple Target Speakers under the Meeting Scenarios
Bang Zeng, Hongbing Suo, Yulong Wan +1
The common target speech separation directly estimate the target source, ignoring the interrelationship between different speakers at each frame. We propose a multiple-target speec…
eess.AS2020★ 5 cited
Atss-Net: Target Speaker Separation via Attention-based Neural Network
Tingle Li, Qingjian Lin, Yuanyuan Bao +1
Recently, Convolutional Neural Network (CNN) and Long short-term memory (LSTM) based models have been introduced to deep learning-based target speaker separation. In this paper, we…