TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	REMOVE
Speech Synthesis	North American English	Tacotron	Mean Opinion Score	4.001	# 4

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Tacotron: Towards End-to-End Speech Synthesis

29 Mar 2017 • Yuxuan Wang • RJ Skerry-Ryan • Daisy Stanton • Yonghui Wu • Ron J. Weiss • Navdeep Jaitly • Zongheng Yang • Ying Xiao • Zhifeng Chen • Samy Bengio • Quoc Le • Yannis Agiomyrgiannakis • Rob Clark • Rif A. Saurous

A text-to-speech synthesis system typically consists of multiple stages, such as a text analysis frontend, an acoustic model and an audio synthesis module. Building these components often requires extensive domain expertise and may contain brittle design choices... (read more)

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SPEECH SYNTHESIS

TEXT-TO-SPEECH SYNTHESIS

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Ranked #4 on Speech Synthesis on North American English

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	RESULT	BENCHMARK
Speech Synthesis	North American English	Tacotron	Mean Opinion Score	4.001	# 4		Compare

Methods used in the Paper

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

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