![]() This is necessary for reading audio files. I recommend setting up a virtual environment using venv, but this is optional. Python 3.5 or greater should work, but you'll probably have to tweak the dependencies' versions. ![]() A GPU is recommended for training and for inference speed, but is not mandatory. Check out Resemble.ai (disclaimer: I work there) for state of the art voice cloning with little hassle.Check out paperswithcode for other repositories and recent research in the field of speech synthesis.Check out CoquiTTS for an open source repository that is more up-to-date, with a better voice cloning quality and more functionalities.If you care about the fidelity of the voice you're cloning, and its expressivity, here are some personal recommendations of alternative voice cloning solutions: Many other open-source repositories or SaaS apps (often paying) will give you a better audio quality than this repository will. Like everything else in Deep Learning, this repo is quickly getting old. Generalized End-To-End Loss for Speaker Verification ![]() Tacotron: Towards End-to-End Speech Synthesis Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis In the second and third stages, this representation is used as reference to generate speech given arbitrary text. In the first stage, one creates a digital representation of a voice from a few seconds of audio. SV2TTS is a deep learning framework in three stages. Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. This repository is an implementation of Transfer Learning from Speaker Verification to
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