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CorentinJ/Real-Time-Voice-Cloning avatar
CorentinJ

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.

60,083 stars9,397 forksPythonNOASSERTION
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DEEP OPEN-SOURCE ANALYSIS

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.

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DEEP OPEN-SOURCE ANALYSIS

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.

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DEEP OPEN-SOURCE ANALYSIS

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.

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DEEP OPEN-SOURCE ANALYSIS

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 |

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DEEP OPEN-SOURCE ANALYSIS

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:

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DEEP OPEN-SOURCE ANALYSIS

Editorial conclusion

The repository README is the source for this review. It does not replace a local installation or an independent test.

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DEEP OPEN-SOURCE ANALYSIS

Official sources

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Community notes

Community notes