Voice Imitating Text-to-Speech Neural Networks

We propose a neural text-to-speech (TTS) model that can imitate a new speaker's voice using only a small amount of speech sample. We demonstrate voice imitation using only a 6-seconds long speech sample without any other information such as transcripts... (read more)

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Methods used in the Paper


METHOD TYPE
Griffin-Lim Algorithm
Phase Reconstruction
Sigmoid Activation
Activation Functions
Highway Layer
Miscellaneous Components
Residual Connection
Skip Connections
Convolution
Convolutions
Batch Normalization
Normalization
Max Pooling
Pooling Operations
Residual GRU
Recurrent Neural Networks
BiGRU
Bidirectional Recurrent Neural Networks
Highway Network
Feedforward Networks
CBHG
Speech Synthesis Blocks
ReLU
Activation Functions
Dropout
Regularization
Dense Connections
Feedforward Networks
Tanh Activation
Activation Functions
Additive Attention
Attention Mechanisms
GRU
Recurrent Neural Networks
Tacotron
Text-to-Speech Models