8 articles tagged with #ai-music. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
AI music generator Suno has reached 2 million paid subscribers and achieved $300 million in annual recurring revenue. The platform allows users to create music using natural language prompts, making music generation accessible to users without musical experience.
AI music platform Suno's copyright filters can be easily bypassed with minimal effort, allowing users to generate AI imitations of popular songs from artists like Beyoncé, Black Sabbath, and Aqua. Despite Suno's policy prohibiting copyrighted material use, the platform's detection system proves inadequate at preventing copyright infringement.
Apple Music is reportedly planning to add transparency tags to distinguish AI-generated music on its platform. The effectiveness of this initiative remains questionable since labels and distributors must voluntarily opt-in to tag their music as AI-generated.
Google has launched Lyria 3 in the Gemini app, enabling users to create custom 30-second music tracks from text prompts and images. This represents a significant advancement in AI-powered creative tools, expanding Gemini's capabilities beyond text and conversation into multimedia content generation.
A new neural network called Jukebox has been introduced that can generate music and rudimentary singing as raw audio across various genres and artist styles. The developers are releasing the model weights, code, and exploration tools to the public.
Google has released Lyria 3 Pro, an upgraded AI music generation tool that can create tracks up to three minutes long, six times longer than the previous 30-second limit. The tool allows users to prompt for specific song elements like intros, choruses, and bridges, and can generate both music and lyrics from text prompts or reference photos.
Google is launching Lyria 3, an AI music generation model that will be integrated into Gemini today. Users can generate 30 seconds of music-like audio content using simple text prompts.
Researchers introduce SyncTrack, an AI model for multi-track music generation that addresses rhythmic stability and synchronization issues in existing models. The model uses track-shared modules for common rhythm and track-specific modules for diverse timbres, introducing new metrics to evaluate multi-track music quality.
