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Found 3 papers, 2 papers with code
Auditory Separation of a Conversation from Background via Attentional Gating
Our Attentional Gating Network (AGN) uses a variable attentional context to specify which speakers in the mixture are of interest.
Generalization Challenges for Neural Architectures in Audio Source Separation
Recent work has shown that recurrent neural networks can be trained to separate individual speakers in a sound mixture with high fidelity.
Voice Conversion using Convolutional Neural Networks
The human auditory system is able to distinguish the vocal source of thousands of speakers, yet not much is known about what features the auditory system uses to do this.
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