calls DiffGAN-TTS “A TTS implementation using denoising diffusion GANs; pick for research into diffusion-based speech generation.”
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
DiffGAN-TTS is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named DiffGAN-TTS among their alternatives. The relationship is not symmetric — how DiffGAN-TTS rates them is a separate judgement, made when DiffGAN-TTS is analysed in its own right.
calls DiffGAN-TTS “A TTS implementation using denoising diffusion GANs; pick for research into diffusion-based speech generation.”
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
calls DiffGAN-TTS “Old DiffGAN-TTS implementation; use only for research reproduction.”
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
calls DiffGAN-TTS “Choose only to reproduce the DiffGAN-TTS paper; it is an older TTS implementation.”
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
calls DiffGAN-TTS “choose for diffusion GAN TTS research, but it is older and unmaintained.”
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech