Utterance-level Sequential Modeling For Deep Gaussian Process Based
Speech Synthesis Using Simple Recurrent Unit

Utterance-level Sequential Modeling For Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit

22 April 2020

Tomoki Koriyama

Hiroshi Saruwatari

Papers citing "Utterance-level Sequential Modeling For Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit"

5 / 5 papers shown

Title
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 346 5,714 0 25 Jul 2019
Investigating accuracy of pitch-accent annotations in neural network-based speech synthesis and denoising effects Hieu-Thi Luong Xin Wang Junichi Yamagishi Nobuyuki Nishizawa 25 16 0 02 Aug 2018
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 128 1,817 0 29 Mar 2017
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 73 1,178 0 02 Nov 2012
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 199 2,616 0 29 Jun 2012