My AI-Music
Introduction
Goal
Nowadays, everyone can create AI-generated music. I use Artificial Intelligence to help me propagate my ideas about saving the world.
One of my goals is to make people aware of the climatic changes on Earth, caused by the human population explosion worldwide, leading to the global destruction of nature.
I try to do this by means of sad lyrics, even in the form of a dizzying waltz.
I also have cheerful (up-tempo), relaxing or meditative songs about the main themes in different parts of the book. Some songs are about the Origin of the Universe, others about the Emergence of Life on Earth.
Musical Genre
I have experimented with the following musical styles:
Pop, slow pop, duet, synth-wave, rap, acoustic folk, waltz, Bachata, Cha Cha, music from India, Haiku.
Some songs end up being crossover forms or fusion music.
AI-Music Generators
The AI-generated songs presented here, were created by my 'prompts' (instructions to AI-model).
I used two AI-music generator sites for experimenting with prompts for: sound, slogans, instruments, music and lyrics.
Udio.com
In 2024 I used Udio.com (AI model version 1.5).
( Surf to https://www.udio.com/ )
Lyria3
Later on, since 2026, I started using Google Gemini: Lyria3 AI (model version 3.5 and v.5.5).
( Surf to https://lyria3-ai.com/ )
The AI-models of both Udio and Lyria3 generate 2 versions per prompt. It is up to you to choose which one you think sounds best.
It is a pity that many models cannot create a stereo sound properly (for left and right speaker).
Most AI-models cannot produce a human voice that sings with a British-English accent, but they mainly sing only American English.
Song Text
I re-used my slogans and texts from my other websites.
With help of Microsoft Copilot I prepared my text-fragments to become song texts for my AI-generated music.
Some lyrics were adjusted by either Microsoft Copilot, Udio.com or Google Lyria3.
Album Cover
I gave every song an image from my self-made digital art collection (©RGES).
Maybe one day I will put the songs in albums with their own album cover.
At the moment I have experimental work-sets of similar music.
Music classification
I don't know what the best way is to classify my music. Should I classify the songs under the heading of Genre? Or in terms of the Speed (BPM) of the song? Or classify by text Content? Or split by Mood: sad, angry, relaxed, happy, activating, resilient?
List of my AI Music
I have made an overview table with all my digestible AI songs for you to investigate and maybe appreciate.
Go to the overview-table A with my AI-songs .
🎷 🪗 🎸 🎹 🎺 🎻 🪘 🪇 🪈
Bloopers
A problem that often arises in AI-music generation, is the interpretation of your prompt by the AI-model (What is form? What is content?). In some songs you may hear that the instruction-prompt is sung by the male or female singer. Many times, the song-instructions are sang beautifully, but this is not the intention, of course. The singers must only sing the lyrics-content (what to sing), not the instructions (how to sing it).
Some AI-models have difficulties pronouncing words in English properly. Or the emphasis in the word is sung incorrectly. And most AI models sing American English, so no British accent. That's a pity.
Copyright RGES | ||
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 | RGES is the owner of all text, slogans, audio (sounds, voice, music, AI-songs), lyrics or images that he created or generated. If/when you use such an object from this site (or subsites) and publish it elsewhere (Internet, TV, radio, digital, or on paper, etc.), please ask RGES for permission first. Always mention the author and refer to the source. Thank you. |
Author: RGES .
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