Suno AI Music Generator can turn YOUR VOICE into a SONG
Music
Introduction
Introduction
Welcome to a journey into the fascinating world of AI music generation! In this article, we explore Suno AI's music generator and its ability to transform your voice into an entire song. Let's dive in and see what happens when a non-singer like me experiments with this innovative tool.
Recording Random Vocals
To start, I pulled up Ableton and recorded three different random vocal samples. The requirements were simple: each vocal had to be between 6 and 60 seconds. Here are the examples I recorded:
- "You know what I'm saying 'cause it's all the things that I feel."
- "Twinkle twinkle little star, how I wonder what you are."
- A scatting, jazzy improvisation.
I bounced these files out quickly without mixing or mastering, keeping them raw for the experiment.
Uploading and Processing with Suno AI
With the vocals ready, I uploaded them to Suno AI. The platform processed the vocals, creating two iterations of each prompt. I chose different styles for each vocal:
- "you know what I'm saying" – set to an upbeat country style.
- "Twinkle Twinkle Little Star" – set to a funk jazz style.
- The scatting vocal – set to an electronic style.
Suno AI created these versions and began polishing them. It was time to listen to the results.
Reviewing the Results
First Vocal ("You know what I'm saying")
The first vocal was surprising. Suno AI added autotune, transforming my raw vocal into something that fit a song, albeit with some gibberish-like interpretation:
- First Iteration - The vocal was heavily tuned and integrated into an upbeat country arrangement.
- Second Iteration - Similar result with varying degrees of intelligibility in the lyrics.
Second Vocal ("Twinkle Twinkle Little Star")
First Iteration
- First Iteration - Initially, it seemed more instrumental-focused with minimal vocal processing.
- Second Iteration - This version was a bit more coherent, and the autotuning clearly presented the "Twinkle Twinkle" melody.
Third Vocal (Scatting Jazz Improvisation)
This was the most interesting one. The AI created:
- First Iteration - A piece that sounded more like a heavily modulated and autotuned instrumental.
- Second Iteration - Captured the essence of scatting and built a track around it, though with mixed results.
Given the unexpected nature and mixed results, I decided to retry, setting all vocals to a "Funk Electronic" style. This produced varied and sometimes glitchy outputs, showing both the potential and current limitations of Suno AI.
Notable Findings
Suno AI often used my vocals either as a direct sample or as an inspirational concept. Sometimes it followed the melody closely, while other times it created entirely different musical interpretations. This unpredictability was both intriguing and sometimes frustrating, as it required multiple attempts to achieve a desirable output.
Keyword Extraction
Keywords: Suno AI, music generator, voice transformation, AI autotune, vocal processing, Ableton, Funk Jazz, electronic music, creative experiment, AI-generated music, vocal samples, AI music limitations.
FAQ
1. Can Suno AI handle vocals of varying quality? Yes, Suno AI can process vocals of different qualities, often adding autotune and other effects to make them fit a song structure. However, the results can vary in terms of intelligibility and overall quality.
2. What are the file requirements for uploading vocals to Suno AI? Each vocal sample should be between 6 and 60 seconds long. No extensive mixing or mastering is required before uploading.
3. How does Suno AI interpret vocal samples? Suno AI either uses the vocal sample directly with modifications (like autotune) or treats it as a conceptual idea to create new melodies and arrangements.
4. Can Suno AI produce instrumental tracks without vocals? Yes, sometimes Suno AI creates instrumental tracks by analyzing the vocal melody and constructing an instrumental interpretation instead of directly incorporating the vocal sample.
5. What musical styles can Suno AI generate? Suno AI can generate a variety of musical styles, including but not limited to country, funk jazz, and electronic music. The chosen style can significantly influence the final output.
Conclusion
This experiment revealed the potential and limits of AI in music generation. While Suno AI showed impressive capabilities, especially in transforming rough vocals into something listenable, it also highlighted the unpredictability of AI in creative processes. The future of AI music generation looks promising, especially if features like stem downloading are integrated, offering even more flexibility to musicians and producers.