Mastering the AI YELL Voice: Techniques and Successes with Suno AI

Introduction

The Suno AI community is buzzing with questions about achieving the perfect AI YELL voice—a technique that adds intensity and power to any track. Whether you're creating an epic anthem or a fierce dubstep track, mastering the AI YELL voice can make a significant difference. In this article, we'll explore the techniques I used to create my latest track "Rage!" on Suno AI, focusing on how to get the AI to yell effectively without singing the instructions instead of following them.

The Challenge: Getting AI to Yell

One of the most common issues users face on the Suno AI forums is getting the AI to produce a convincing yell or scream. The process can be tricky, as the AI may interpret certain instructions literally, leading to unwanted results—like singing the word "YELL" instead of performing the action.

In my experience creating "Rage!" I encountered this challenge firsthand. The initial version of the track, created on Suno AI, had the AI singing some of the instructions, which led to less-than-desirable results. However, through trial and error, I found a solution that not only fixed the issue but also enhanced the track's overall impact.

Techniques for Mastering the AI YELL Voice

1. Properly Enclosing Instructions

One of the key steps in getting Suno AI to perform the yell correctly is to ensure all instructions are properly enclosed in brackets. This prevents the AI from interpreting these as lyrics to be sung. For example:

• Incorrect: <volume: maximum> RAAAAGE!!!
• Correct: [volume: maximum] RAAAAGE!!!

2. Utilizing Phonetic and Pitch Tags

Using phonetic and pitch tags effectively can create the desired yell effect. In "Rage!" I used the following techniques:

• Phonetic Lengthening: [phonetic:/OOOH:/] to extend the "OOOH" sound, giving it a drawn-out, intense feel.
• Pitch Adjustment: [pitch: low] [pitch=-1] to deepen the voice and add a guttural quality to the yell.

3. Layering with Background Vocals

Layering background vocals with similar effects in a lower octave enhances the power of the yell. In the background vocals for "Rage!" I used:

• Background Vocals: [background] [volume: medium] [pitch: low] [effect: subtle reverb] [pitch=-1] RAAAAGE!!!

This technique adds depth and a more pronounced impact to the main vocals.

The Original Creation: "Rage!" on Suno AI

The original version of "Rage!" was created using Suno AI, where I applied the techniques mentioned above. However, as with any AI-generated music, there were a few hiccups—specifically, Suno AI decided to sing some of the instructions rather than follow them. Despite these challenges, the core elements of the track were solid, and I was able to use this as a foundation for further refinement.

Check out the original version of "Rage!" on Suno AI: Listen Here

The Mastered Version: Refining the Track on BandLab

To address the issues in the original version, I imported the track into BandLab, where I could make more precise edits and remove the unwanted vocal errors. The result is a mastered version that maintains the intensity of the original while delivering a cleaner, more polished sound.

You can listen to the mastered version of "Rage!" on BandLab: Listen Here

Conclusion

Mastering the AI YELL voice requires patience, experimentation, and the right techniques. By following these steps and leveraging the power of Suno AI and BandLab, you can create tracks with the intensity and impact you envision. "Rage!" is a testament to the potential of these tools when used effectively.

If you're struggling with similar challenges in your Suno AI projects, I encourage you to try these techniques and see how they work for you. And don't forget to check out both versions of "Rage!" to hear the difference for yourself.

Here is my original attempt, which I absolutely loved and put on YouTube