If you’re looking to train your model using Retrieval-Based Voice Conversion (RVC) but don’t want to spend hours refining and editing audio files, you’re in the right place! In this tutorial, I’ll show you how to create a high-quality dataset file in just five minutes using an automated program.

This free tool will:
✅ Clean your audio files by removing noise and background music

✅ Eliminate silent moments for a smoother dataset

✅ Combine all audio clips into a single file, ready for training

Let’s get started!

Watch Youtube Video : Click Here

✅ Links used in this tutorial:

• RVC Dataset Maker GUI : Click Here

Step By Step Guide:

Step 1: Open Google Colab and Run the First Step

1. Click on the Google Colab project link provided in the description.
2. Press Run Anyway when prompted.
3. Google Colab will start processing, and the first step will begin.
4. This step installs the required program on Google Colab, which takes about 2 minutes.
5. Once done, you’ll see a checkmark confirming completion.

Step 2: Launch the Program Interface

1. Run Step 2 in Google Colab.
2. A public URL will appear. Click on it to open the Gradio-powered program interface.

Step 3: Upload Your Audio Files

1. Click Upload and select the files you want to process.
2. You can use regular audio files or songs (e.g., MP3, WAV).
3. After uploading, the files will appear in the interface.

Step 4: Process and Download the Dataset File

1. Click Submit to start processing.
2. Wait about 5 minutes while the program refines your audio.
3. Once complete, a preview of the dataset file will appear.
4. Download the final dataset file by clicking the download button or the small arrow.
5. Save it to your device and use it to train your RVC model!

With this method, you can save hours of manual work and get a clean, optimized dataset file in just a few minutes. This tool is a game-changer for anyone working with RVC training.