Clone Any Voice - RVC Google Colab Free Train & Inference ( Full Tutorial )

Introduction

Introduction

In this tutorial, you will learn how to clone any voice using a new code for RVC on Google Colab for free. This method works seamlessly on both computers and mobile phones. In this article, I will walk you through the process using a computer. In a future tutorial, I will demonstrate using a mobile phone, so remember to subscribe to my channel for more related tutorials. This tutorial consists of four main parts:

1. Preparing the audio file used to train the model.
2. Training the model on Google Colab for free.
3. Saving the model on Google Drive for later use or to resume training.
4. Using the model to replace any voice with the model’s voice.

Part 1: Preparing the Audio File

The quality of the model is highly dependent on the audio file used for training. The ideal training audio should be 3 to 5 minutes of clean audio, devoid of silence, noise, or music. In this tutorial, I will clone my own voice to create a model capable of singing or speaking any language.

You can record yourself using Audacity on your computer or record on your mobile phone and transfer the audio file to your computer. To enhance the audio quality, I used the Adobe Audio Enhancer, which is available for free.

Steps to Enhance the Audio:

1. Sign in to Adobe Audio Enhancer with your Gmail email.
2. Click on “Choose Files” to upload the audio file.
3. After the enhancement is complete, preview and download the audio file.

Part 2: Training the Model on Google Colab for Free

Steps to Train:

1. Prepare Google Colab:

   1. Open Google Chrome and log in with your Gmail.
   2. Open the provided Google Colab project link.

2. Run the Main Setup:

   1. Execute the main step to install the RVC program on Google Colab, which takes about 5 minutes.

3. Upload the Audio File:

   1. Run step one and upload the enhanced audio file. This may take around 10 minutes or more depending on the file size.

4. Set Up Model Specifications:

   1. Write the model's name (without spaces or symbols). For example, use “Baha”.
   2. Leave “rmvp GPU” as is and run the step.

5. Train the Model:

   1. Using the same model name, determine the number of epics (recommended between 200-1000). For this tutorial, I used 100 epics.
   2. Run the training step, which will take time based on the number of epics you set.
   3. After the training completes, a green check mark will appear next to the step.

Part 3: Saving the Model on Google Drive

Steps to Save:

1. Save the Training Files:

   1. Write the exact model name used during training.
   2. Run the step to connect Google Colab with Google Drive.
   3. Click through the prompts to authorize the connection.

2. Check Google Drive:

   1. Go to Google Drive and open the “RVC Packages” folder.
   2. Wait for the model file to appear (it might take a minute), and ensure it's over 1GB in size.

Part 4: Using the Model to Replace Any Voice

Steps to Use:

1. Upload the Target Audio File:

   1. The target file should be clean and of high quality.
   2. Run step one to upload the file (e.g., a vocal track of Frank Sinatra singing “Fly Me to the Moon”).

2. Specify the Model and Conversion Parameters:

   1. Write the exact name of the model.
   2. Set the genre conversion value; for converting male to male voice, it remains zero.
   3. Leave all other settings as is and run the step.

3. Download the Result:

   1. After the process completes, preview and download the resulting audio file.

Using the Model on a Later Date:

1. Reconnect to Google Colab:
   1. Open the Google Colab project link and run the main step.
   2. Paste the model link from Google Drive and run the step to load the model.
   3. Follow the same steps as above to use the model on new audio files.

Conclusion

In the next video, I will show you how to resume training your model on a higher number of epics to improve its quality. Thanks for reading and I’ll see you in the next tutorial.

Keywords

• Voice Cloning
• RVC
• Google Colab
• Audio File Preparation
• Model Training
• Google Drive
• Voice Replacement
• Epics
• Audio Enhancement

FAQ

What type of audio file should be used for training?

• Ideally, a 3 to 5 minutes clean audio file without silence, noise, or music.

Can I use a mobile phone to record the audio file?

• Yes, you can record on a mobile phone and transfer it to your computer.

How many epics should I use for training the model?

• It is recommended to use between 200 and 1,000 epics, but in the tutorial, I used 100 epics for demonstration purposes.

How long does it take to upload the training audio file to Google Colab?

• It may take 10 minutes or more, depending on the file size.

How do I save the model on Google Drive?

• You will save the training files by authorizing Google Colab to connect with Google Drive, then running the appropriate steps.

Can I use the model at a later date without retraining?

• Yes, by loading the model from Google Drive using the saved link, you can reuse the model without retraining.

What should I do if the audio file has noise or music?

• Use the Adobe Audio Enhancer or similar tools to clean and enhance the audio quality.

How can I resume training the model for higher quality?

• In the next tutorial, there will be detailed steps on how to resume training your model with a higher number of epics.

This concludes the article, keywords, and FAQ section for “Clone Any Voice - RVC Google Colab Free Train & Inference (Full Tutorial)”.