CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion

Non-parallel voice conversion (VC) is a technique for learning the mapping from source to target speech without relying on parallel data. This is an important task, but it has been challenging due to the disadvantages of the training conditions... (read more)

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Methods used in the Paper


METHOD TYPE
Residual Connection
Skip Connections
Batch Normalization
Normalization
GAN Least Squares Loss
Loss Functions
Cycle Consistency Loss
Loss Functions
ReLU
Activation Functions
Sigmoid Activation
Activation Functions
Tanh Activation
Activation Functions
Leaky ReLU
Activation Functions
Residual Block
Skip Connection Blocks
Convolution
Convolutions
Instance Normalization
Normalization
PatchGAN
Discriminators
CycleGAN
Generative Models