Emotional End-to-End Neural Speech Synthesizer

15 Nov 2017 • Young-Gun Lee • Azam Rabiee • Soo-Young Lee

In this paper, we introduce an emotional speech synthesizer based on the recent end-to-end neural model, named Tacotron. Despite its benefits, we found that the original Tacotron suffers from the exposure bias problem and irregularity of the attention alignment... (read more)

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METHOD	TYPE
Griffin-Lim Algorithm	Phase Reconstruction
Sigmoid Activation	Activation Functions
Highway Layer	Miscellaneous Components
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
Residual Connection	Skip Connections

METHOD

TYPE

Griffin-Lim Algorithm