Google DeepMind released Lyria 3.5, an updated music generation model deployed within the Google Flow Music product. The release claims advances in musicality, lyrics, vocals, and creative control. This represents a meaningful step in Google's generative audio/music capabilities.
DeepMind has announced Lyria 3 Pro, an upgraded AI music generation model that enables longer track creation with structural awareness. The release also expands Lyria's availability across more Google products and surfaces. This represents an incremental capability upgrade to DeepMind's generative audio lineup.
Google DeepMind has integrated Lyria 3, its most advanced music generation model, into the Gemini app. Users can now generate 30-second music tracks from text or image prompts. This marks a consumer-facing multimodal capability expansion for the Gemini product.
Google launched Lyria 3, a latent diffusion-based music generation model integrated into the Gemini app and YouTube Shorts, capable of producing 30-second audio clips with vocals and instruments from text or image prompts. Unlike its predecessor Lyria 2, Lyria 3 was trained on licensed audio data and includes copyright-filtering safeguards, SynthID watermarking, and RLHF fine-tuning. The model is available free to Gemini users (18+) and YouTube Shorts creators, reaching an estimated 750 million users. Google also acquired ProducerAI (formerly Riffusion) shortly after launch, signaling continued investment in AI music tooling.
Google DeepMind has announced Veo 3 and Imagen 4, new generative video and image models respectively, alongside a filmmaking tool called Flow. The announcement comes from DeepMind's official blog and represents the next generation of their generative media capabilities. These releases expand Google's multimodal generative AI portfolio targeting creative and professional media production use cases.
Google DeepMind has announced Veo 3.1, an updated version of its video generation model, with significant enhancements to creative control features. The announcement comes from DeepMind's official blog, indicating a formal product update rather than a research preview. Specific capability details are not provided in the body text, but the framing suggests improvements to user-facing generation controls.
DeepMind has released Gemini 3.1 Flash Live, a new voice model designed for real-time audio interactions. The model features improved precision and lower latency compared to its predecessor, aiming to make voice-based AI interactions more fluid and natural. The announcement comes from DeepMind's official blog, indicating a production-grade release.
Google DeepMind has announced new audio dialog and generation capabilities in Gemini 2.5. The update extends the model's multimodal capabilities into AI-powered audio interaction and synthesis. No further technical details are provided in the announcement body.
DeepMind has released Gemini 3.1 Flash TTS, a new audio model focused on expressive speech generation. The model introduces granular audio tags that allow developers precise control over AI speech output. This represents an incremental advancement in Google's text-to-speech capabilities within the Gemini model family.