Your Mission: To explore how Artificial Intelligence can be a partner in making music and to create your own AI-generated song.
Why? This is a chance to explore a cool intersection of technology (AI, computer science) and art (music). You’ll see how tools like these are changing creative industries and think about future possibilities. Careers like AI Music Composer, Sound Designer, Music Producer, or AI Researcher use similar concepts!
Goal: Learn how to guide AI to create music using text prompts.
Goal: Mix and modify music tracks like a DJ, using AI-generated sounds.
Goal: To explore alternative AI music generation platforms and compare their features and outputs.
While Google MusicFX is great, many other AI tools are emerging! If you’re curious, or if you’re unable to access Google MusicFX, try one of these platforms. Each has a slightly different approach to AI music creation.
Suno: https://suno.com/
Udio: https://www.udio.com/
Riffusion: https://www.riffusion.com/
Instructions:
Choose a Platform: Pick one of the alternative websites listed above to explore. You can try more than one if you have time!
Navigate and Explore:
Spend a few minutes looking around the interface. How do you input your ideas? Is it through text prompts, or are there other controls?
Create Your Music:
Suno & Udio: These platforms often focus on generating full songs with vocals based on your text prompts.
Try prompting a song idea, similar to how you prompted in MusicFX.
Examples: “A pop song about overcoming challenges, with a catchy chorus and a hopeful vibe,” “a rap song about coding, with a driving beat,” “a gentle lullaby about stars.”
Riffusion: This tool generates music from text prompts and visualizes it as a spectrogram (a visual representation of sound). You can often “steer” the AI in real-time.
Try a prompt and observe how the spectrogram changes as the music plays.
Examples: “Electronic dance music with a heavy bass,” “ambient nature sounds,” “jazz fusion.”
Experiment and Compare:
How easy was it to get started on this new platform?
What kind of music does it create best?
How do the prompts work differently compared to Google MusicFX?
Did you find any unique features or limitations?
Which platform’s output did you prefer for your specific idea?
Share Your Discoveries:
When you present your piece in Part 3, feel free to share your experiences with these alternative tools. What did you learn by trying them out? How do they expand your understanding of AI’s role in music creation?
This activity is all about exploration and discovery. There are no “right” or “wrong” answers, just your unique creations and insights. Have fun experimenting with the future of music
Here are a few options for prompts you can use with MusicFX, designed to explore its capabilities. Remember that MusicFX allows for iteration, so you can start with these and then use the “expressive chips” or modify the text to refine the results.
Option 1 (Focus on Mood and Genre):
Chill lofi hip hop beat, melancholic and dreamy, with a Rhodes piano and a subtle vinyl crackle. Perfect for late-night study sessions.
Why it works:
Option 2 (More Energetic and Specific):
Upbeat 80s synthwave, driving bassline, gated reverb drums, and soaring synthesizer melody. Fast tempo, around 140 BPM. Evokes a feeling of a retro futuristic car chase.
Why it works:
Option 3 (Abstract and Experimental – Good for DJ Mode):
Ethereal soundscape, blending organic textures with glitchy electronic elements. Mysterious and evolving, with moments of tension and release. No discernible beat.
Why it works:
Option 4 (Simple and Direct for a Specific Instrument/Vibe):
Acoustic folk guitar, warm and reflective, gentle fingerpicking. Campfire feel.
Tips for Using These Prompts with MusicFX:
