Deep Voice 3 vs FakeYou

Deep Voice 3 is an open-source PyTorch implementation of the Deep Voice 3 text-to-speech model from Baidu Research. It reproduces convolutional sequence learning for scalable neural TTS and ships pretrained checkpoints with audio demos for single-speaker and multi-speaker setups.

The project includes models trained on LJSpeech for single-speaker synthesis and on VCTK for 108-speaker multi-speaker generation. The demo page hosts sample audio clips, attention plots, and links to pretrained weights on GitHub.

It is aimed at researchers and developers who want a reference implementation of Deep Voice 3 rather than a hosted speech API. Training scripts, inference code, and community contributions live in the public GitHub repository.

FakeYou turns text into character and celebrity speech using a library of community-trained voice models. You pick a voice, type what you want said, and download or share the generated audio. The platform also covers voice-to-voice conversion, custom voice design, and tools for cloning or converting voices with zero-shot workflows.

What sets FakeYou apart is scale and community contribution. The text-to-speech catalog lists more than 3,500 voices built and uploaded by creators worldwide, from cartoon characters to original personas. Featured voices, search filters, and community ratings help you sort through the options without guessing.

FakeYou positions itself as one piece of a broader creative stack aimed at solo creators. The about page states a mission to help anyone produce full-length content from home without large teams or studio budgets. Press logos and on-site copy cite Techstars backing and over 10 million users globally.

Content creators, gamers, musicians, and hobby voice actors use FakeYou for narration, memes, covers, and fan projects. Free access covers the core generators, while Plus, Pro, and Elite subscriptions add faster queue times, longer clip limits, and private model uploads.