Voice cloning for real-time speech generation
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This repository implements a real-time voice cloning system using a three-stage deep learning framework (SV2TTS), enabling users to generate arbitrary speech from a few seconds of audio. It's primarily for researchers and developers interested in TTS and voice synthesis, offering an open-source solution for voice cloning.
How It Works
The SV2TTS framework leverages transfer learning. The first stage uses a generalized end-to-end (GE2E) loss for speaker verification to create a compact voice embedding from a short audio sample. This embedding then conditions a Tacotron-based synthesizer and a WaveRNN vocoder in the subsequent stages to generate speech in real-time, aiming for efficient and rapid voice replication.
Quick Start & Requirements
pip install -r requirements.txt
after installing PyTorch (CPU or GPU/CUDA) and ffmpeg.python demo_cli.py
.python demo_toolbox.py
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Maintenance & Community
The project is a master's thesis implementation and notes that it has "quickly gotten old." It suggests checking out CoquiTTS or MetaVoice-1B for higher quality open-source solutions. No specific community links (Discord/Slack) or active maintenance signals are provided in the README.
Licensing & Compatibility
The repository's license is not explicitly stated in the provided README text. Users should verify licensing for commercial or closed-source use.
Limitations & Caveats
The project acknowledges that its audio quality may be surpassed by modern SaaS solutions and other open-source projects like CoquiTTS. It also notes potential setup issues related to dependencies and X-server errors during toolbox execution.
2 months ago
Inactive