Player not loading? Watch on YouTube
This tutorial, uploaded on April 26, 2024, walks through installing OpenVoice v2 locally and generating speech from text with a reference speaker's voice. Its setup reflects that release and upload period, rather than current installation guidance. The speaker describes OpenVoice as open source under the MIT license and claims it supports voice style control and cross-language cloning.
The demonstrated machine has a GPU with 16 GB of VRAM and 32 GB of system memory. The speaker recommends 20 to 30 GB of disk space for checkpoints and audio samples; these figures describe the tutorial's setup, not established minimum requirements. He creates a Conda environment with Python 3.9, clones the repository, installs its dependencies, then downloads and extracts the v2 checkpoints. MeloTTS supplies the base speaker models for speech generation.
The usage section works through a Python interpreter. It loads the tone color converter and checkpoint, selects a reference audio file, and extracts the target speaker's tone color embedding. The demonstrated device selection falls back to CPU when a GPU is unavailable, though the tutorial uses GPU execution.
The final example processes text in several languages, explicitly including English, Spanish and Japanese, with an adjustable speech speed. The speaker checks the output directory and plays a generated sample. This is a practical local AI walkthrough, but the transcript provides no controlled comparison of voice similarity, generation speed or CPU performance.
