Google announced the launch of Lyria 3 Pro, an advanced music generation model, on Wednesday, just one month after introducing its predecessor. The new version significantly extends generation capabilities, allowing users to create tracks up to three minutes in length, a substantial increase from the 30-second limit of the original Lyria 3. Beyond duration, the Pro model offers enhanced creative control and customization by better understanding musical structure. Users can now specify elements such as intros, verses, choruses, and bridges within their prompts to guide the composition process. The update is being integrated across multiple Google platforms. While the original Lyria model was introduced in the Gemini app, access to Lyria 3 Pro is restricted to paid subscribers of the app. Additionally, the technology is rolling out to Google Vids, a video editing tool, and ProducerAI, a generative AI music production platform acquired by Google last month. In a move to expand into the professional sector, Google is also adding music generation capabilities to its enterprise suite, including Vertex AI, currently in public preview, as well as the Gemini API and AI Studio. Regarding data ethics and training, Google stated that the model was trained using data from partners and permissible sources from YouTube and Google. The company emphasized that the system does not mimic specific artists. However, it noted that if a user includes an artist's name in a prompt, the model uses that artist as a source of broad inspiration to generate the track. To ensure transparency, all audio produced by Lyria 3 and Lyria 3 Pro will be marked with SynthID, a digital watermark indicating the content was created by artificial intelligence. This release comes amid growing industry activity surrounding AI-generated music and copyright concerns. Earlier this week, Spotify unveiled new tools allowing artists to review and manage songs released under their names to prevent misattribution by AI creators. Similarly, Deezer has introduced mechanisms enabling streaming services to identify AI-generated music, reflecting a broader push for accountability in the rapidly evolving generative audio landscape.