Google’s enterprise cloud gets a music-generating AI model
Google’s enterprise cloud gets a music-generating AI model | TechCrunch
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Google’s enterprise cloud gets a music-generating AI model | TechCrunch
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Google’s enterprise cloud gets a music-generating AI model
==========================================================
[Kyle Wiggers](https://techcrunch.com/author/kyle-wiggers/)
5:00 AM PDT · April 9, 2025
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On Wednesday, Google rolled out updates to several of its first-party media-generating AI models available through its Vertex AI cloud platform.
[Lyria](https://techcrunch.com/2023/11/16/deepmind-and-youtube-release-lyria-a-gen-ai-model-for-music-and-dream-track-to-build-ai-tunes/), Google’s text-to-music model, is now available in preview for select customers, and the company’s [Veo 2](https://techcrunch.com/2025/02/23/googles-new-ai-video-model-veo-2-will-cost-50-cents-per-second/) video-creation model has been enhanced with new editing and visual effects customization options. The company has also launched a voice-cloning feature powered by [Chirp 3](https://techcrunch.com/2025/03/17/google-adds-its-hd-voice-model-chirp-3-to-its-vertex-ai-platform/), Google’s audio understanding model, for “allow-listed” users. And the [Imagen 3](https://techcrunch.com/2024/11/27/google-geminis-imagen-3-lets-players-design-their-own-chess-pieces/) image generator now delivers what the company describes as “significantly” better performance.
The updates, timed for Cloud Next, are Google’s latest push to corner the enterprise market for generative AI. The company competes perhaps most directly with Amazon, which offers a comparable cloud AI platform called Bedrock with its own set of proprietary generative AI models.
Google is pitching Lyria as an alternative to royalty-free music libraries. Using the model, customers can create songs in a range of styles and genres, from jazzy piano solos to lo-fi tracks, the company said.
Chirp 3, meanwhile, can synthesize speech in around 35 languages. First previewed earlier this year, Chirp 3 drives Instant Custom Voice, which can supposedly clone a voice with 10 seconds of audio. It’s now generally available. This model also underpins a new tool launching in preview, called Transcription with Diarization, which separates and identifies speakers in recordings with multiple participants.
To prevent abuse, Instant Custom Voice is subject to a “diligence” process to verify “proper voice usage permissions,” says Google.
As for Veo 2, the model can now remove background images, logos, and objects from existing videos, and extend the frame of video footage (e.g., to convert landscape video into portrait). It can also now adjust the camera angles and pacing in AI-generated scenes to create time lapses, drone-style clips, and more, and it can interpolate between specified beginning and end frames.
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These Veo features are available in preview for now.
As for the aforementioned Imagen 3 upgrades, Google said they improve the model’s ability to remove objects and reconstruct missing or damaged portions of images.
All media generated by Imagen, Veo, and Lyria (but not Chirp) are watermarked using Google’s [SynthID](https://techcrunch.com/2024/10/23/google-releases-tech-to-watermark-ai-generated-text/) technology. The company said all its generative AI models have “built-in safeguards” to protect against the creation of harmful content.
Google hasn’t historically indicated which specific data it uses to train its models, and the tech giant stuck with that precedent today. Training data tends to be a controversial subject for IP-related reasons. Some firms train their models on copyrighted works without first obtaining permission from rights holders. While these companies claim that [U.S. fair use doctrine](https://techcrunch.com/2025/03/13/openai-calls-for-u-s-government-to-codify-fair-use-for-ai-training/) shields the practice, some creators understandably disagree. [Many are battling vendors in court](https://chatgptiseatingtheworld.com/2025/04/05/updated-map-of-40-us-copyright-suits-v-ai-companies-with-transfer-of-all-suits-v-openai-to-judge-stein/).
Google has previously told TechCrunch that it offers opt-out mechanisms for model training as well as an indemnity policy to shield Google Cloud and Vertex AI customers from AI-related copyright disputes.
Topics
[AI](https://techcrunch.com/category/artificial-intelligence/), [Cloud Next](https://techcrunch.com/tag/cloud-next/), [Enterprise](https://techcrunch.com/category/enterprise/), [Google](https://techcrunch.com/tag/google/), [google cloud](https://techcrunch.com/tag/google-cloud/), [music generation](https://techcrunch.com/tag/music-generation/), [Vertex AI](https://techcrunch.com/tag/vertex-ai-2/)
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Kyle Wiggers
AI Editor
[](https://twitter.com/Kyle_L_Wiggers)[](https://bsky.app/profile/kylelwiggers.bsky.social)[](https://techhub.social/@kylelwiggers)[](https://www.linkedin.com/in/kyle-lee-wiggers/)
Kyle Wiggers is TechCrunch’s AI Editor. His writing has appeared in VentureBeat and Digital Trends, as well as a range of gadget blogs including Android Police, Android Authority, Droid-Life, and XDA-Developers. He lives in Manhattan with his partner, a music therapist.
[View Bio](https://techcrunch.com/author/kyle-wiggers/)

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