How to Get High-Quality AI Voice Clones for Music | Kits.ai Best Practices

Introduction

To create high-quality voice models using Kits.ai, it's essential to provide a well-prepared dataset, primarily consisting of dry monophonic vocal recordings. This article outlines the key steps and practices that lead to the best results in training your AI voice model.

Preparing Your Dataset

1. Recording Requirements:

   • You need at least 10 minutes of dry monophonic vocals.
   • Avoid using backing tracks, time-based effects (like reverb and delay), and any harmonies or stereo effects.
   • Ensure your recordings are clean and made with a high-quality microphone, ideally stored in a lossless file format.

2. Examples and Quality Control:

   • It’s crucial to avoid background noise, hum, or any lossy compression that could spoil your model's quality.
   • Misinterpretations can occur if your dataset includes harmonies or doubling, leading to glitches in output.

3. Diversity in Sounds:

   • Include a range of pitches, vowels, and articulations. A comprehensive dataset will help the model accurately convert a variety of sounds. Lack of diversity can result in scratchy or glitchy outputs when unfamiliar sounds are processed.

Obtaining Clean Vocal Recordings

• Your best source of training data is original recordings like studio a cappellas. If studio recordings are inaccessible, you can utilize the Kits vocal separator tool to extract vocals from existing tracks. Simply upload a file or paste a YouTube link, and the tool will isolate vocals from backing tracks.

• In the case where isolated vocals contain reverb or harmonies, use the vocal separator tool to clean up your dataset by selecting options to remove backing vocals, reverb, and echo.

Training Your Voice Model

Once you compile around 10 minutes of quality training data, upload it to Kits.ai and initiate the training process. For convenience, you can also input YouTube links, and Kits will automatically isolate vocals and remove unwanted effects for you.

Converting Audio Using Your Voice Model

When your model is trained, you can easily convert audio:

• Use dry monophonic input data for optimal results.
• Upload your audio and hit convert; your converted audio will be ready for download shortly.
• Experiment with various settings, including the conversion string slider and pre-processing or post-processing effects, to achieve the best sound.

Additional Features

Kits.ai provides demo audio options where you can convert test clips without using your conversion minutes. Additionally, the text-to-speech feature allows you to input custom phrases for your voice model to vocalize.

Overall, AI voice conversion is a groundbreaking tool for creators, making it easier than ever to access unlimited voice options for your music projects through Kits.ai.

---

Keyword

• High-Quality Voice Models
• Kits.ai
• Dry Monophonic Vocals
• Backing Tracks
• Reverb
• Delay
• Harmonies
• Vocal Separator Tool
• Studio A Cappellas
• Lossless File Format

---

FAQ

1. What type of recordings do I need for training a voice model?

• You need at least 10 minutes of dry monophonic vocal recordings without any backing tracks, harmonies, or time-based effects.

2. How can I improve the quality of my voice model?

• Ensure clean recordings from a high-quality microphone and store them in a lossless file format. Avoid background noise and compression artifacts.

3. What if I don’t have studio a cappellas?

• You can use Kits.ai’s vocal separator tool to extract vocals from existing tracks or YouTube links.

4. What settings can I experiment with when converting audio?

• You can adjust the conversion string slider, dynamic slider, and both pre-processing and post-processing effects to refine your output.

5. Can I test the audio conversion features before committing?

• Yes, Kits.ai offers demo audio options that allow you to test conversions without using your conversion minutes.