Clone Any Singer's Voice with AI: Ultimate Voice Cloning Tutorial

Introduction

In this guide, you will learn how to clone any singer's voice using AI technology. The process is divided into three main parts: creating the dataset, training the model, and finally using the model to generate new songs with the cloned voice. Follow these detailed steps to complete the process successfully.

Part 1: Creating the Dataset

Open your web browser and make sure you are logged in with your Google account.
Open the Google Colab dataset maker project via the link provided in the video description.
Click on Run Step 1 and select "Run Anyway." This action will install the necessary requirements to prepare the dataset, which should take about 2 minutes.
After completion, you will see a small checkmark next to Step 1.
Proceed to Step 2, where you will upload song files of the singer whose voice you want to clone. It is advisable to use at least three songs. Click on Run Step 2, and a "Choose Files" button will appear. Click it to upload the song files.
In Step 3, the program will create a dataset file from the uploaded songs, removing the music and silence while retaining only the singer’s voice. Click on Run Step 3 to start this process.
After Step 3 is complete, a checkmark will appear next to it.
In Step 4, download the dataset file by running the step. A window will pop up, allowing you to save the file to your device. Once finished, disconnect from Google Colab by navigating to Runtime > Disconnect and Delete Runtime, then click "Yes."

Part 2: Training the Model

Open the Google Colab project link for model training.
Click on Run Main Step. A window will appear; click "Run Anyway." This step will install the basic requirements for voice cloning and will take around 5 minutes.
Once completed, checkmark next to the step will appear.
In Step 1, you will upload the dataset file you prepared earlier. Run Step 1, click on the "Choose Files" button, and select the dataset file.
Proceed to Step 2, where you will specify the model name (should be in English and without spaces or symbols, e.g., "singer_clone_voice"). Ensure you leave the selection as "Rore GPU," then run the step.
Step 3 involves training the model. Enter the model name again and specify the number of epochs for model training (preferably between 200 and 1,000). For this tutorial, set it to 100 and keep the saving frequency at 20. Run Step 3 to start the training, which may take some time depending on the epochs set.
Once training is finished, a checkmark will appear next to the step.
In Step 4, save the trained model to Google Drive. Enter the model name and follow the prompts to link Google Colab with your Google Drive. The saving process will take around 4 minutes. Once completed, you will find a new folder named "rvc_packages" in your Drive with the trained model file. Afterward, disconnect from Google Colab.

Part 3: Using the Model's Voice to Sing Any Song

Open the Google Colab project allowing the model to sing any song.
Click on Run Main Step and select "Run Anyway." This step will take around 5 minutes.
After completion, a checkmark will appear next to the step.
Loading the model: Enter the model name you created earlier and paste the model link from Google Drive. To get the link, right-click the model file, select "Share,” change the access to "Anyone with the link," and copy the link before pasting it back into Google Colab.
Run the step; after loading is complete, a checkmark will be displayed.
In Step 1, you will upload the target song that you want the model to sing. Once uploaded, a checkmark will appear.
Proceed to Step 2, where the original singer's voice in the target song will be replaced by the model's voice. Enter the model name here. You can also adjust pitch settings if necessary, with specific values for changing male and female voices. Don’t change anything if you prefer the original pitch, then run the step.
In Step 3, download the newly created song by running the final step. A window will pop up for you to save it on your device.

If you need to apply the process again to another song or change the model, you can skip running the main step and just follow the necessary steps to reload the model and upload a new target song. Don’t forget to disconnect from Google Colab once you’re done.

Thank you for following this tutorial, and happy cloning!

Keywords

Voice Cloning
Google Colab
Dataset
Model Training
AI Technology
Songfiles
Epochs
Pitch Settings

FAQ

What is voice cloning? Voice cloning is a technology that allows you to replicate a person's voice using AI by training a model on audio data of that voice.
Do I need programming skills to follow this tutorial? Basic familiarity with Google Colab and file uploads will be helpful, but you do not need extensive programming skills.
How many songs do I need to upload for the dataset? It is advisable to use at least three songs to create a high-quality dataset for voice cloning.
Can I adjust the pitch of the cloned voice? Yes, you can modify the pitch settings to convert between male and female voices during the voice replacement process.
Will I have copyright issues with the songs I clone? You should consider copyright laws in your jurisdiction regarding using cloned voices and original recordings.