DCTTS: Discrete Diffusion Model with Contrastive Learning for Text-to-speech Generation

13 September 2023

Papers citing "DCTTS: Discrete Diffusion Model with Contrastive Learning for Text-to-speech Generation"

9 / 9 papers shown

Title
Diffsound: Discrete Diffusion Model for Text-to-sound Generation Dongchao Yang Jianwei Yu Helin Wang Wen Wang Chao Weng Yuexian Zou Dong Yu DiffM 94 306 0 20 Jul 2022
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech Rongjie Huang Zhou Zhao Huadai Liu Jinglin Liu Chenye Cui Yi Ren DiffM 100 201 0 13 Jul 2022
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis Rongjie Huang Max W. Y. Lam Jun Wang Dan Su Dong Yu Yi Ren Zhou Zhao DiffM 74 172 0 21 Apr 2022
Taming Visually Guided Sound Generation Vladimir E. Iashin Esa Rahtu VLM 100 128 0 17 Oct 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech Vadim Popov Ivan Vovk Vladimir Gogoryan Tasnima Sadekova Mikhail Kudinov DiffM 113 543 0 13 May 2021
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech Yi Ren Chenxu Hu Xu Tan Tao Qin Sheng Zhao Zhou Zhao Tie-Yan Liu 105 1,411 0 08 Jun 2020
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 2,705 0 16 Dec 2017
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 178 5,049 0 27 Jun 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,035 0 12 Mar 2015