RVC Web UI - Free, Open Source AI Voice Cloning for Impressive Voiceovers and Covers

🎙️ The video discusses a free, open source AI voice cloning software called RVC Web UI.

💻 The software allows users to create voice clones and use them for various purposes, such as AI cover songs.

🆓 Updates to the software include additional readme translations, graphic card support, and improved voice extraction algorithms.

📦 To set up RVC Web UI, download the appropriate file for your operating system and run it.

💻 If you prefer a normal installation, download and install Anaconda, then use Git to pull the latest updates and create a new environment.

🔧 Make sure to install the necessary compiler and dependencies, such as Microsoft Visual C++ build tools and ffmpeg.

Setting up the RVC Web UI requires installing torch, torch audio, and pytorch using either pip or poetry.

Moving files to the new assets directory is necessary for updating from previous versions.

To run the RVC Web UI, download the required models and run a Python command.

📂 To use the RVC Web UI, you need to place the index and pth files in specific directories.

🎤 You can create a new voice by providing vocals and selecting a pitch extraction method.

🎶 The RVC Web UI also offers a vocal remover tool for creating acapella versions of songs.

🎵 The RVC Web UI allows users to process audio files for voice cloning.

🔀 Users can choose different options for better voice quality or audio separation.

🎙️ Manual adjustments and additional software may be needed to refine the output.

🎵 A demonstration of creating audio files with reversed instruments and a new mix.

🗣️ Instructions on how to clone a voice using the RVC Web UI, including the requirement of 10 minutes of clean audio.

⚙️ Step-by-step guide on setting up the project, including naming the project, copying the data set, and adjusting training options.

🔢 Adjusting the VRAM and epoch settings can optimize the voice cloning process.

📊 Monitoring the loss trend in Tensorboard can help prevent overtraining.

🔄 After training, the cloned model can be accessed in the model inference tab.