Google’s latest AI music model lets you create longer tracks with greater structural awareness across more Google products.

Google expands its music generation tool

Just a month after launching Lyria 3 inside Gemini, Google is leveling up its AI music offering. Lyria 3 made it possible for users to generate 30-second tracks using text, image, or video prompts. It worked similarly to other AI music tools from Suno and Udio, giving users a quick way to create short snippets based on a prompt.

Now, Google is taking things up a notch with Lyria Pro 3. It’s Google’s “most advanced music generation model” and pushes things beyond 30-second snippets into full-length songs. 

So, what’s new?

The biggest change is track length. Users can now generate music up to three minutes long, up from the previous 30-second limit. That makes it possible to essentially create a full track, rather than just a short snippet.

The model also has a better understanding of song structure. That means users can prompt for specific sections like intros, verses, choruses, and bridges. Rather than leaving everything to the model, this gives users more control over how the track turns out.

Lyria 3 Pro is also being rolled out across more of Google’s ecosystem. This now includes Gemini, Vertex AI, Google AI Studio, Google Vids, and Producer AI.

What about responsible use? 

As with any AI music generator, questions remain around whether the model was trained using copyrighted material. Google makes it clear that  it has been “developing its music generation tools responsibly” by only “using materials that YouTube and Google has a right to use” under its “terms of service, partner agreements, and applicable law”.

The company also reiterates that the model is not designed to mimic specific artists. While the model may use a mentioned artist as inspiration, filters are in place to “check outputs against existing content”. Plus, all outputs are tagged with Google’s AI watermark, Synth ID.

Why it matters

Lyria 3 Pro is another sign of just how quickly AI music tools are evolving. They are moving beyond short, experimental snippets and more towards complete tracks.

Developments like these only means more AI-generated content entering the space. For artists and the music industry, that only raises more questions over competition, rights, and ownership.


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