Tacotron (/täkōˌträn/): An end-to-end speech synthesis system by Google


(March 2017) Tacotron: Towards End-to-End Speech Synthesis
(November 2017) Uncovering Latent Style Factors for Expressive Speech Synthesis
(December 2017) Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
(March 2018) Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
(March 2018) Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
(June 2018) Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
(July 2018) Predicting Expressive Speaking Style From Text in End-to-End Speech Synthesis
(August 2018) Semi-Supervised Training for Improving Data Efficiency in End-to-End Speech Synthesis
(October 2018) Hierarchical Generative Modeling for Controllable Speech Synthesis
(November 2018) Disentangling Correlated Speaker and Noise for Speech Synthesis via Data Augmentation and Adversarial Factorization