This repository is an implementation of [Transfer Learning from Speaker Verification to
Multispeaker Text-To-Speech Synthesis](https://arxiv.org/pdf/1806.04558.pdf)(SV2TTS) with a vocoder that works in real-time. Feel free to check [my thesis](https://matheo.uliege.be/bitstream/2268.2/6801/5/s123578Jemine2019.pdf#page=2) if you're curious or if you're looking for info I haven't documented yet (don't hesitate to make an issue for that too). Mostly I would recommend giving a quick look to the figures beyond the introduction.
Multispeaker Text-To-Speech Synthesis](https://arxiv.org/pdf/1806.04558.pdf)(SV2TTS) with a vocoder that works in real-time. Feel free to check [my thesis](https://matheo.uliege.be/handle/2268.2/6801) if you're curious or if you're looking for info I haven't documented yet (don't hesitate to make an issue for that too). Mostly I would recommend giving a quick look to the figures beyond the introduction.
SV2TTS is a three-stage deep learning framework that allows to create a numerical representation of a voice from a few seconds of audio, and to use it to condition a text-to-speech model trained to generalize to new voices.
