Real-Time-Voice-Cloning
GitHub describes it as Clone a voice in 5 seconds to generate arbitrary speech in real-time. The repository metadata lists Python as its primary language. The metadata lists the NOASSERTION license. This article stays within the project description and details documented in the GitHub repository README.
CorentinJ/Real-Time-Voice-Cloning: Real-Time Voice Cloning
GitHub describes it as Clone a voice in 5 seconds to generate arbitrary speech in real-time. The repository metadata lists Python as its primary language. The metadata lists the NOASSERTION license. This article stays within the project description and details documented in the GitHub repository README.
Repository scope
GitHub describes it as Clone a voice in 5 seconds to generate arbitrary speech in real-time. The repository metadata lists Python as its primary language. The metadata lists the NOASSERTION license. The README describes the project this way: This repository is an implementation of Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. This was my master's thesis.
Real-Time Voice Cloning
The README section "Real-Time Voice Cloning" states: SV2TTS is a deep learning framework in three stages. In the first stage, one creates a digital representation of a voice from a few seconds of audio. In the second and third stages, this representation is used as reference to generate speech given arbitrary text.
Papers implemented
The README section "Papers implemented" states: | URL | Designation | Title | Implementation source | | ------------------------------------------------------ | ---------------------- | ---------------------------------------------------------------------------------------- | ------------------------------------------------------- | | 1806.04558 | SV2TTS | Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis | This repo | | 1802.08435 | WaveRNN (vocoder) | Efficient Neural Audio Synthesis | fatchord/WaveRNN | | 1703.10135 | Tacotron (synthesizer) | Tacotron: Towards End-to-End Speech Synthesis | fatchord/WaveRNN | | 1710.10467 | GE2E (encoder) | Generalized End-To-End Loss for Speaker Verification | This repo |
Heads up
The README section "Heads up" states: Like everything else in Deep Learning, this repo has quickly gotten old. Many SaaS apps (often paying) will give you a better audio quality than this repository will. If you wish for an open-source solution with a high voice quality:
Editorial conclusion
The repository README is the source for this review. It does not replace a local installation or an independent test.
Community notes