Investigating context features hidden in End-to-End TTS

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Investigating context features hidden in End-to-End TTS

4 November 2018

Seiichi Yamamoto

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Papers citing "Investigating context features hidden in End-to-End TTS"

7 / 7 papers shown

Title
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis Yuxuan Wang Daisy Stanton Yu Zhang RJ Skerry-Ryan Eric Battenberg Joel Shor Y. Xiao Fei Ren Ye Jia Rif A. Saurous 66 827 0 23 Mar 2018
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions Jonathan Shen Ruoming Pang Ron J. Weiss M. Schuster Navdeep Jaitly ... Yuxuan Wang RJ Skerry-Ryan Rif A. Saurous Yannis Agiomyrgiannakis Yonghui Wu 85 2,704 0 16 Dec 2017
Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention Hideyuki Tachibana Katsuya Uenoyama Shunsuke Aihara 58 266 0 24 Oct 2017
Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems Yonatan Belinkov James R. Glass 43 83 0 13 Sep 2017
What do Neural Machine Translation Models Learn about Morphology? Yonatan Belinkov Nadir Durrani Fahim Dalvi Hassan Sajjad James R. Glass 114 415 0 11 Apr 2017
Tacotron: Towards End-to-End Speech Synthesis Yuxuan Wang RJ Skerry-Ryan Daisy Stanton Yonghui Wu Ron J. Weiss ... Samy Bengio Quoc V. Le Yannis Agiomyrgiannakis R. Clark Rif A. Saurous 166 1,831 0 29 Mar 2017
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 578 27,338 0 01 Sep 2014

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