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Voice Conversion With Transformer Network

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IEEE ICASSP 2020 Virtual Conference May 2020
This paper describes an end-to-end voice conversion system, which involves three main ideas: transformer, context preservation mechanisms, and model adaptation. Self-attention in the transformer architecture directly connects all positions, making it easi
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Voice Conversion With Transformer Network

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This paper describes an end-to-end voice conversion system, which involves three main ideas: transformer, context preservation mechanisms, and model adaptation. Self-attention in the transformer architecture directly connects all positions, making it easi