Parallel-data-free voice conver- sion using cycle-consistent adversarial networks
會議：EUSIPCO 2018 單位：日本NTT 1. abstract 本文實現不需要平行數據，不需要額外的數據，模型，對齊方式實現的高質量，通用的語音轉換。用帶門控CNN的CycleGAN-VC實現，用adversarial 和cycle consistent loss同時進行正向和反向的映射，從而在不匹配的數據中找到最佳的僞對（psedu paired)。 2. introduction a
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