CLONE ANY AI Voices for FREE LOCALLY in 1 CLICK! JUST INSANE!

The video presents a comprehensive guide on how to clone any voice using an open-source program called RVC, which stands for Real-Time Voice Cloning. The host, SC, explains the process of installing RVC either through a one-click installer for patrons or manual installation for others. He details the steps to train a voice model using around 10 minutes of clean audio, emphasizing the importance of audio quality over quantity. After training, viewers can convert any audio into the cloned voice by adjusting specific parameters like the transpose value to match pitch. The video also touches on using pre-trained community models from websites like vocmodels.com and integrating RVC with text-to-speech for generating initial audio. SC concludes by highlighting the potential for roleplay and creative use of the cloned voice, inviting viewers to experiment with the technology.

Takeaways

• 🎉 **Free Voice Cloning**: You can clone any voice for free using an open-source program called RVC on your local computer.
• 📚 **Training with Audio Clips**: To clone a voice, you need around 10 minutes of good quality audio from the person you want to clone.
• 💻 **Installation Options**: RVC can be installed using a one-click installer for Patreon supporters, or via manual installation with Python and other dependencies.
• 🔍 **Voice Quality**: The key to a good voice clone is the quality of the dataset, not just the duration of the audio.
• 📂 **Organizing Audio Files**: Use software like Audacity to organize and isolate the voice you want to clone from background noise or other speakers.
• 🔢 **Technical Setup**: For manual installation, you need to set up a Python environment with a specific CUDA version and install necessary requirements.
• 🔄 **Feature Extraction**: After organizing your audio files, you perform feature extraction on them to prepare for the training process.
• ⚙️ **Training Settings**: Customize your training settings including total epochs, save frequency, and batch size per GPU for optimal results.
• 📈 **Model Inference**: Once the voice model is trained, you can use it to convert any audio into the cloned voice by adjusting the transpose value.
• 🌐 **Community Models**: You can also use pre-trained voice models from the RVC community available on websites like vocmodels.com without training your own.
• ✍️ **Text-to-Speech**: Although RVC is audio-to-audio, you can use text-to-speech methods to generate an initial audio file that can then be converted using RVC.

Q & A

What is the name of the technology used to clone voices in the video?

The technology used to clone voices in the video is called RVC, which stands for Real-Time Voice Cloning.

How can one install RVC using the one-click installer?

To install RVC using the one-click installer, you need to download the installer onto your computer, double-click on the file, and wait for the installation process to complete.

What is the minimum duration of audio required to train a voice model in RVC?

The minimum duration of audio required to train a voice model in RVC is around 10 minutes.

How does one isolate the voice of a specific person for training in RVC?

To isolate the voice of a specific person, you can use software like Audacity to edit the audio and remove any background noise or other voices, ensuring that only the desired voice is left in the final recording.

What are the system requirements for installing RVC?

To install RVC, you need to have Python and Git for Windows installed on your computer. Additionally, you may need to create a new Python environment and install the necessary requirements.

How can one use RVC to convert text to speech with a cloned voice?

To use RVC for text-to-speech conversion, you first need to generate an initial audio file using a text-to-speech system. Then, you can use this audio file as a base to convert it into the cloned voice using RVC.

What is the role of the community in RVC?

The community plays a significant role in RVC by creating and sharing pre-trained voice models. Users can download these models directly without having to train their own, making it easier to use RVC for various voice cloning tasks.

How can one find and use pre-trained voice models from the RVC community?

You can find pre-trained voice models from the RVC community on websites like vocmodels.com. After downloading the model files (.pth and .index), you place them in the appropriate folders within the RVC directory and refresh the voice list in the RVC web UI to use the model.

What is the recommended approach if you encounter a 'Cuda out of memory' error during the training process?

If you encounter a 'Cuda out of memory' error, you should decrease the batch size per GPU until the error no longer occurs. This is because a higher batch size requires more GPU memory for the training process.

How does the pitch extraction algorithm affect the training process in RVC?

The pitch extraction algorithm is crucial for accurately determining the pitch of the voice during the training process. The video recommends using the RPM-Vocoder GPU version as it is the best algorithm for this task.

What is the purpose of the 'transpose' value in the model inference tab of RVC?

The 'transpose' value in the model inference tab is used to adjust the octave of the voice. It can be increased or decreased to match the pitch of the source audio to the cloned voice, which is particularly useful when converting between male and female voices.

Why is it not recommended to use RVC for text-to-speech in virtual environments like City Tavern?

Using RVC for text-to-speech in virtual environments like City Tavern is not recommended because it requires first generating an audio file using a standard text-to-speech system, which can be slow and may not produce high-quality results. Instead, using extensions designed for text-to-speech, like exts, is suggested for better performance.

Outlines

00:00

😀 Introduction to Voice Cloning with RVC

The video introduces a method for cloning any voice using an open-source program called RVC. The host, SC, explains that with RVC, one can convert audio files into a desired voice, such as Morgan Freeman, Gordon Ramsey, or even SpongeBob. The video promises a step-by-step guide on how to use RVC for free on a local computer. There are two installation methods for RVC: a one-click installer for Patreon supporters and a manual installation process that involves downloading the RVC package installer, extracting the archive, and launching the program. The host also discusses the need for Python and provides instructions for installing RVC through GitHub.

05:01

🎓 Training a Voice Model with RVC

The host explains that RVC is a web UI for training a voice model using around 10 minutes of clean audio from the person whose voice is to be cloned. The process involves recording one's own voice or extracting audio from videos of the target individual, ensuring the audio is clear and free from background noise. The training process requires the user to input various details such as the name of the voice clone, the sample rate, and the path to the training folder. The host also discusses the importance of the quality of the dataset over its duration and provides guidance on how to use software like Audacity to isolate the voice for training.

10:02

🔧 Configuring and Starting the Training Process

The video outlines the technical setup required for training a voice model in RVC. It covers the selection of the sample rate, CPU processes, and other default settings. The host guides viewers on how to process data, select the pitch extraction algorithm, and initiate feature extraction. Training settings such as the total number of epochs, save frequency, batch size per GPU, and other parameters are explained. The host emphasizes the need to adjust these settings based on the user's GPU memory and system capabilities. The training process can take over an hour, depending on the voice length and system specifications.

15:03

🎛️ Converting Audio to the Cloned Voice

After training the voice model, the host demonstrates how to convert any audio into the cloned voice. This involves selecting the trained voice model, choosing a transpose value to match the pitch of the source audio, and entering the path of the audio file to be converted. The host also discusses the possibility of adjusting other values for fine-tuning the conversion process. The conversion is fast, and the results can be downloaded for use. The video also mentions the existence of pre-trained voice models available for download from the community, which can be used without going through the training process.

20:04

📚 Utilizing Text-to-Speech with RVC

The host explains that while RVC is an audio-to-audio software, it can be used in conjunction with text-to-speech (TTS) systems to generate audio from text. The video describes how to use the UA Tech Generation web UI with the COOK TTS extension to generate an initial audio file from text, which can then be converted using RVC. The process involves setting a greeting message in the parameters and using it to create a new chat, which automatically converts the first message into an audio file. This base audio file can then be used in RVC to convert text into the cloned voice. The host also advises against using RVC for role play in virtual environments like City Tavern, recommending the use of dedicated TTS extensions instead.

25:06

🎉 Conclusion and Final Thoughts

The video concludes with a summary of the process for cloning voices with RVC and accessing community-trained models. The host encourages viewers to experiment with voice cloning and have fun with the technology. There is a reminder to subscribe to the channel and support the host on Patreon for priority support. The host expresses gratitude to Patreon supporters and viewers for their support and concludes the video with a farewell.

Keywords

AI Voice Cloning

AI Voice Cloning refers to the process of using artificial intelligence to replicate the unique vocal characteristics of a specific individual. In the video, the host demonstrates how to clone a voice using a software called RVC, which requires an audio dataset from the person whose voice is being cloned. It is central to the video's theme as it allows users to generate new sounds with a cloned voice model.

RVC (Recurrent Voice Cloning)

RVC, or Recurrent Voice Cloning, is an open-source program that enables users to clone a voice and convert audio files into that new voice. It is a key component in the video as the host uses it to show viewers how to clone voices for free on their local computers. The software is highlighted for its ability to train voice models and convert audio, making it a core tool for achieving the video's objective.

Audio Clip

An audio clip is a short piece of audio that can be used as a sample for voice cloning. In the context of the video, the host mentions that a few audio clips of the person whose voice is to be cloned are needed to train the RVC software. The quality and clarity of these audio clips are crucial for the accuracy of the cloned voice.

Text-to-Speech (TTS)

Text-to-Speech is a technology that converts written text into spoken words. The video discusses how, while RVC is not a TTS software, one can use TTS to generate an initial audio file that can then be converted using RVC. This process is demonstrated as a way to input text and get it read in a cloned voice without directly using TTS.

Python Environment

A Python environment is a working setup where Python code can be executed. The video script includes instructions on setting up a Python environment for RVC, which is necessary for the software to function properly. It's an essential step in the manual installation process of RVC shown in the video.

GPU (Graphics Processing Unit)

A GPU is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. In the video, the host discusses the use of a GPU for voice cloning, particularly in the context of training the RVC model, where a multi-GPU system can be utilized for faster processing.

Training Data

Training data is a set of data used for training machine learning algorithms. In the video, the host emphasizes the importance of having at least 10 minutes of high-quality, noise-free audio as training data to create an accurate voice clone with RVC. The data is used to teach the AI the nuances of the voice to be cloned.

Transcribe

Transcribing is the process of converting spoken language into written form. The video involves transcribing the voice of a person from audio clips into a format that can be used to train the RVC software. This is a critical step in creating a voice model that can later be used to generate new audio with the cloned voice.

Voice Model

A voice model is a digital representation of a voice created through machine learning techniques. In the context of the video, the host trains a voice model using RVC with the aim of replicating a specific person's voice. The voice model is then used to convert other audio files into the cloned voice.

Web UI (Web User Interface)

Web UI refers to the interface of a web application that allows users to interact with the application via a web browser. The video showcases the use of RVC's Web UI for training the voice model and converting audio files into the cloned voice. It is the visual platform through which users can operate RVC without needing to use command-line instructions.

Community Models

Community models are pre-trained voice models created and shared by the community of RVC users. The video mentions that instead of training a voice model from scratch, users can download and use community models, which are available for a wide range of voices. This option is presented as an alternative for users who do not wish to go through the process of voice training.

Highlights

The video demonstrates how to clone any AI voice for free on your local computer using an open-source program called RVC.

With RVC, you can convert an audio file into a new voice, opening up possibilities like having Morgan Freeman read you a bedtime story.

RVC is not a text-to-speech program but an audio-to-audio converter that requires a base audio file to create a new voice.

To install RVC, you can use a one-click installer for Patreon supporters or download the RVC package installer for an older version.

Manual installation of RVC involves having Python and Git for Windows installed, cloning the repository, and setting up a Python environment.

You need around 10 minutes of good quality audio without background noise to train a voice model in RVC.

The training process involves processing data, feature extraction, and selecting the right training settings for the voice model.

Once the voice model is trained, you can convert any audio into that voice using the model inference tab in RVC.

You can adjust the transpose value to match the pitch of the original voice to the voice you're trying to clone.

RVC community offers thousands of pre-trained voice models available for download and direct use.

VoilàModels.com is a recommended website to find and download community-trained voice models.

The video shows how to use text-to-speech with the cloned voice model by first generating an audio file using the UA Tech Generation web UI.

You can use the COOK TTS extension to generate an initial audio file that can be converted within the RVC web UI.

For role-playing games, it's suggested to use text-to-speech extensions like exts instead of RVC for better results and efficiency.

The video provides a step-by-step guide on how to prepare audio, train a voice model, and convert any audio into a cloned voice.

Patreon supporters have access to priority support and a one-click installer for RVC.

The presenter emphasizes the importance of the quality of the dataset over the duration for effective voice cloning.

The final audio conversion process in RVC is fast and can be fine-tuned by adjusting various parameters.