Blog
Our thoughts and resources on music industry and AI
Blog
Our thoughts and resources on music industry and AI
Can Meta’s audio aesthetic model actually rate the quality of music?
Last year, Meta released Audiobox Aesthetics (AES), a research model that proposes scoring audio based on how people would rate it. The model outputs four scores: Production Quality (PQ), Production Complexity (PC), Content Enjoyment (CE), and Content Usefulness...
Can Meta’s audio aesthetic model actually rate the quality of music?
Last year, Meta released Audiobox Aesthetics (AES), a research model that proposes scoring audio based on how people would rate it. The model outputs four...
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CAIO
Can Meta’s audio aesthetic model actually rate the quality of music?
Last year, Meta released Audiobox Aesthetics (AES), a research model that proposes scoring audio based on how people would rate it. The model outputs four...
Latest Articles
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Making Sense of Music Data – Data Visualizations
Generate consistent music metadata from audio. Sign up for Cyanite. Music data exists at every level of the industry: in catalogs, streaming platforms,...
How To Prompt: The Guide to Using Cyanite’s Free Text Search
Ready to search your catalog in natural language? Try Free Text Search. Do you have trouble translating your vision for music into precise keywords? If so,...
How Do AI Music Recommendation Systems Work
Upgrade your music discovery. Try Similarity Search in Cyanite. Music recommendation systems support discovery in large music libraries and applications. As...
How to smoothly migrate from Musiio to Cyanite (Search Edition)
With Musiio closing its API service soon, many music platforms are facing a time-sensitive challenge: keeping their search and discovery workflows operational...
How to smoothly migrate from Musiio to Cyanite (Tagging Edition)
With Musiio announcing the shutdown of its API service by the end of February, many music platforms and libraries are currently facing a time-sensitive...
Everything you’ve ever wanted to know about Cyanite (answering your FAQs)
Ready to explore your catalog? Sign up for Cyanite. As music catalogs grow, finding the right track gets harder. Metadata doesn’t always keep up, but teams...
Can Meta’s audio aesthetic model actually rate the quality of music?
Last year, Meta released Audiobox Aesthetics (AES), a research model that proposes scoring audio based on how people would rate it. The model outputs four...
How Melodie Music combines sound-based AI search and contextual metadata to spotlight original Australian artists
Ready to improve your music discovery workflows? Try Similarity Search in Cyanite.Cyanite aligns with our philosophy because it doesn’t use AI to generate...
From upload to output: how Cyanite turns audio into reliable metadata at scale
Explore how Cyanite turns sound into structured metadata: Just upload a couple of songs to our web app. Managing a music catalog involves more than just...
Best of Music Similarity Search: Find Similar Songs With the Help of AI
Want a faster way to find tracks with similar sound profiles? Explore Similarity Search in Cyanite. Searching for similar tracks by typing out what you need...
How Cyanite protects your sensitive audio: privacy-first workflows for every catalog
Looking for secure AI music analysis? Discover Cyanite’s integration options. For many music teams, a significant hesitation about AI analysis is not about...
Why AI labels and metadata now matter in licensing
A new industry report from Cyanite, MediaTracks, and Marmoset reveals how professionals are navigating the rise of AI-generated music. Read here. AI’s move to...