Updated AI Voice Cloning with RVC Inference - Tortoise with RVC Local Installation

Jarods Journey
22 Jan 202412:07

TLDRIn this video, the creator demonstrates how to download and utilize an updated AI voice cloning repository, which now incorporates RVC (Real-Time Voice Cloning) into the web UI. The video begins with an audio sample generated from a tortoise model trained on the creator's voice, followed by a demonstration of the audio being processed through RVC using a modal voice model. The installation process is detailed, including downloading szip, obtaining the AI voice cloning package from hugging face, and extracting the large file containing numerous models. The video also covers how to add RVC voice models and reference audio files for inference. The creator emphasizes the need to reload TTS after making changes to the settings. The video concludes with a comparison of audio quality with and without RVC enabled, noting that the first inference may take longer. The creator encourages viewers to report any issues on GitHub and thanks the channel's supporters.

Takeaways

  • 🎉 The video demonstrates how to use an updated AI voice cloning repository with RVC (Real-Time Voice Cloning) integration into the web UI.
  • 📥 To install, first download and install szip, then navigate to the GitHub releases page to download the AI voice cloning package.
  • 💾 The downloaded package is large (14 GB compressed, 21 GB extracted) due to the inclusion of many models.
  • 🔄 If you have a previous version of the AI voice cloning package, it will not be compatible with the new batch script from version 2.0 onwards.
  • 🌐 Launch the web UI by running `start.bat` after extraction, which will allow you to begin using the system.
  • 🔧 Access the local URL to use the web interface, typically found at `Local Host:7860`.
  • 📂 The AI voice cloning package includes a folder for RVC models, where you can add your own trained models.
  • 🔄 Refresh the voice list in the web UI to load newly added RVC models and reference audio files.
  • 🔉 Adjust RVC settings such as RMS mix rate and repetition/length penalties to fine-tune the output audio.
  • 🎙️ You can use an autor regressive model within the Tortoise repository by copying it into the training folder and refreshing the model list.
  • 🔄 It's important to 'reload TTS' in the settings after making changes to use deep speed or switch to HiFi Gan for better output quality.
  • ⏱️ Note that the first inference with a new setup may take longer, but subsequent inferences will be quicker.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is demonstrating how to download and use an updated AI voice cloning repository that integrates RVC (Real-Time Voice Cloning) into the web UI.

  • What is the first step in the installation process mentioned in the video?

    -The first step in the installation process is to download and install szip by following the setup wizard.

  • Why is the installation guide specific to Windows Nvidia GPUs?

    -The installation guide is specific to Windows Nvidia GPUs because the presenter does not have access to AMD GPUs and has not had the time to perform testing for other platforms.

  • What is the size of the file that needs to be downloaded from the releases page?

    -The file is 14 GB in size when compressed in a 7zip file and it extracts to approximately 21 GB.

  • How can users support the presenter's work?

    -Users can support the presenter's work by becoming a YouTube member, which is not mandatory but appreciated.

  • What is the purpose of clicking on 'reload TTS'?

    -Clicking on 'reload TTS' relaunches the application and the web UI, ensuring that changes to the TTS (Text-to-Speech) system take effect.

  • What should you do if you encounter errors during the process?

    -If you encounter errors, you should check the command line window for error messages and ensure that the system indicates 'loaded TTS ready for Generation' before proceeding.

  • How can you add an RVC voice model to the repository?

    -To add an RVC voice model, navigate to the 'RVC models' folder within the AI voice cloning repository and paste the .pth file of the voice model into this folder.

  • What is the role of the 'reference audio file' in the process?

    -The 'reference audio file' is used to train the AI voice model. It should be placed in the 'voices' folder of the AI voice cloning repository.

  • Why is it necessary to increase the voice pitch when using a female RVC voice model for a male TTS output?

    -Increasing the voice pitch helps the female RVC voice model to better match the male TTS output by raising the pitch to a more suitable level for a male voice.

  • What should be done if you have issues with the installation or usage of the AI voice cloning repository?

    -If you have issues, you should open an issue on the GitHub page associated with the repository, as it is easier for the presenter to follow up and provide assistance there.

  • How long does the first inference usually take compared to subsequent inferences?

    -The first inference usually takes a bit longer, for example, around 5 seconds in the video, while subsequent inferences can finish in approximately 2 to 3 seconds.

Outlines

00:00

🚀 Introduction to AI Voice Cloning Repository Update

The video begins with the presenter showcasing an updated AI voice cloning repository, which now includes RVC (Real-Time Voice Cloning) integration into the web UI. The presenter demonstrates the repository's capabilities by generating an audio sample using a voice model trained on their own voice. They then proceed to explain the installation process, which is specifically tailored for Windows users with Nvidia GPUs. The audience is guided through downloading and setting up szip, accessing the repository's releases page, and extracting a large file containing various voice models. The presenter also mentions the need to update the repository to work with the new batch script and provides a brief mention of their YouTube memberships for those who wish to support their work.

05:00

📚 Installing and Configuring the AI Voice Cloning Repository

The presenter continues with the installation process, explaining how to navigate the GitHub page and set up the AI voice cloning repository. They detail the steps to download and install necessary components, such as szip, and how to extract the large file containing the voice models. The presenter also discusses the process of adding RVC voice models and index files to the repository, guiding the audience through copying and pasting files into the appropriate folders. They explain how to refresh the voice list to recognize newly added models and how to add reference audio files for voice cloning. The video also covers how to transfer trained voices from a previous version of the repository to the updated one, including how to refresh the model list and reload the TTS (Text-to-Speech) system to incorporate the new models.

10:03

🎙️ Generating Audio with Custom Voice Models

The presenter concludes the video by demonstrating the process of generating audio using the newly configured custom voice models within the Tortoise GUI. They explain the settings adjustments that can be made for faster inference and how to modify parameters such as RMS mix rate and repetition penalty for better output quality. The presenter also addresses potential issues that may arise during inference, emphasizing the need to wait for the system to indicate that it is 'loaded TTS ready for generation' before proceeding. They provide a comparison between audio generated with and without RVC enabled, noting the differences in fidelity and voice matching. The video wraps up with a reminder to report any issues on GitHub and a thank you to the channel's supporters.

Mindmap

Keywords

💡AI Voice Cloning

AI Voice Cloning refers to the technology that enables the creation of a synthetic voice that mimics a specific individual's voice. In the context of the video, the speaker demonstrates how to use an updated AI voice cloning repository to generate audio samples with a voice model trained on his voice. This technology is central to the video's theme, showcasing its capabilities and the process of integrating it with other systems like RVC.

💡RVC (Real-Time Voice Cloning)

RVC, or Real-Time Voice Cloning, is a technology that allows for the real-time replication and manipulation of a voice. In the video, the speaker discusses incorporating RVC into the AI voice cloning process, using a model to enhance the output audio. RVC is significant as it is used to modify the generated voice to better match the desired characteristics, such as pitch and volume.

💡Web UI (Web User Interface)

Web UI stands for Web User Interface, which is the platform through which users interact with web applications. The video demonstrates the use of a web UI for the AI voice cloning repository, where users can generate audio samples and manipulate settings. The Web UI is a key component in making the technology accessible and user-friendly.

💡Tortoise Model

The Tortoise Model is a specific type of voice model used within the AI voice cloning process. The video script mentions generating an audio sample with a 'voice tortois model' trained on the speaker's voice. It is an essential part of the demonstration, as it is the starting point for the voice cloning and subsequent enhancement with RVC.

💡Szip

Szip is a compression software mentioned in the video as a prerequisite for the setup process of the AI voice cloning repository. The speaker instructs viewers to download and install Szip before proceeding with the installation of the voice cloning tools. It is a necessary step for preparing the system to handle the large files involved in voice cloning.

💡7zip

7zip is an open-source file archiver known for its high compression ratio. In the video, a 14 GB 7zip file is downloaded, which, once extracted, occupies about 21 GB of space due to the large number of models it contains. 7zip is used here to efficiently distribute the voice cloning package and its associated models.

💡GitHub

GitHub is a web-based platform for version control and collaboration used by the speaker to host the AI voice cloning repository. The video script includes instructions on how to access the GitHub page, download the repository, and use it for voice cloning. GitHub serves as the central hub for the distribution and updating of the voice cloning tools.

💡Local Host

Local Host typically refers to the server on one's own computer where web pages and applications can be developed and tested. In the video, the speaker guides users to access the local URL of the web UI by typing 'Local Host colon, 7860' in their browser to start using the AI voice cloning interface. It is a common method for running web applications locally during development or for personal use.

💡RVC Voice Model

An RVC Voice Model is a specific voice replica created with Real-Time Voice Cloning technology. The video script describes how to use such a model to process the output audio from the Tortoise Model. The RVC voice model is chosen from a list and used to modify the generated voice, demonstrating the customization possible with voice cloning.

💡Reference Audio

Reference Audio is a recording used as a basis for training or calibrating voice models. The video mentions adding a reference audio file to the 'voices' folder for the AI voice cloning process. This audio is crucial as it helps the system to learn and replicate the desired voice characteristics accurately.

💡Inference

In the context of AI and machine learning, Inference refers to the process of applying a trained model to new data to make predictions or generate outputs. In the video, the speaker performs inference using both the Tortoise Model and an RVC Voice Model to generate and then enhance audio samples. Inference is the final step where the voice cloning technology is applied to create the desired voice output.

Highlights

The AI voice cloning repository has been updated to include RVC (Real-Time Voice Cloning) in the web UI.

A demonstration is provided to show how the updated system works with a voice tortoise model trained on the presenter's voice.

The output audio can be processed through RVC using a modal voice model for improved quality.

The installation process is detailed for Windows Nvidia GPUs, with a specific setup area provided on the GitHub page.

Szip is required to be downloaded and installed before proceeding with the AI voice cloning package.

The AI voice cloning package is not compatible with previous versions, requiring an update to version 2.0 or later.

The hugging face platform is used to download a large file containing various voice models.

The extracted folder size is approximately 21 GB due to the inclusion of numerous models.

The web UI can be launched by running the start.bat file within the AI voice cloning directory.

YouTube memberships are available to support the creator, though it's not mandatory for content creation.

Errors during the process will appear in the command line window and should indicate 'TS ready for Generation'.

RVC voice models and index files need to be added to the respective folders for the system to use them.

Reference audio files are required for the system to match and generate voice outputs.

Trained voices from previous tutorials can be integrated into the updated tortoise repository.

The autor regressive model needs to be set up within the tortoise GUI and the TTS reloaded for changes to take effect.

Inferences may take longer for the first generation, but subsequent ones are quicker.

Adjustments such as RMS mix rate and repetition/length penalties can be made for better output control.

The presenter notes that their voice models need retraining for better fidelity and matching.

Voice pitch adjustments are necessary when using a female RVC voice model for a male TTS output.

The video concludes with instructions to open an issue on GitHub for any problems encountered.

The presenter thanks the channel members for their support and concludes the video.