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eess.AS2022★ 1 cited
ExARN: self-attending RNN for target speaker extraction
Pengjie Shen, Shulin He, Xueliang Zhang
Target speaker extraction is to extract the target speaker, specified by enrollment utterance, in an environment with other competing speakers. Therefore, the task needs to solve t…
cs.SD2022
Speech Enhancement with Intelligent Neural Homomorphic Synthesis
Shulin He, Wei Rao, Jinjiang Liu +5
Most neural network speech enhancement models ignore speech production mathematical models by directly mapping Fourier transform spectrums or waveforms. In this work, we propose a…
cs.SD2022
Hierarchical speaker representation for target speaker extraction
Shulin He, Huaiwen Zhang, Wei Rao +4
Target speaker extraction aims to isolate a specific speaker's voice from a composite of multiple sound sources, guided by an enrollment utterance or called anchor. Current methods…