Which AI method is better for music production?

02 Tem 19:48

When I first started producing ambient music, I found myself in a similar dilemma. At first, I just recorded ambient sounds and stitched them together to make an ecological ambient album, but as you know, music isn’t just about ambient recordings—it needs some punch in the instruments to feel complete. Later, I found it more efficient to generate melodies and drum patterns with tools like Midjourney and then manually mix them. Especially when I took the drum patterns from AI and adjusted the kick drum by hand, it really helped lock in the groove. For example, I tried this AI called Suno V4, which generates tracks directly, but they come off a bit "artificial." However, if you take AI-generated beats from Drummachine.io and mix them with a bass guitar you played yourself, the result sounds truly organic. I think the key is to use both approaches: let AI generate the instruments, then tweak them manually. That way, you move fast while still adding that human touch.

02 Tem 20:14

Creating a composition by compiling recorded sounds based on beginner level may seem like a simpler and more controlled approach, but in reality, it requires serious AI integration to turn audio clips into meaningful and coherent music. For example, if you want to produce a meaningful composition from ambient sounds, simply combining the sounds isn't enough—you need a model (such as diffusion-based or transformer-based) that preserves harmony, rhythm, and dynamic balance. The risk here is the emergence of noise or unnecessary repetitions. If the fundamental elements of music (melody, harmony, rhythm) are synthesized directly, you gain more creative control, but you still need the right model. For instance, diffusion models (Stable Audio, Riffusion) excel at generating natural sounds, while transformer architectures (MusicGen, AudioLM) are stronger in maintaining long-term structural coherence. The choice depends on the project: if the goal is "inspiring background music," a sound compilation approach may work well, but if you're aiming for a professional track, direct synthesis is the better option. Which scenario are you focusing on?

02 Tem 21:12

If you're going to try it, start by compiling ambient sounds and creating a composition—you'll get flexible results with less technical knowledge. Then, use models like Ritmo (Google) or Stable Audio to generate melodies/drums directly; you'll quickly see progress, especially in tempo and instrument variety.