Research at MixAudio

We're exploring next-generation AI music technology across four key areas: Analysis, Search, Combination, and License. By transforming music into modular audio assets—samples, sections, stems—we unlock new ways to understand, generate, and distribute creative works.

Analysis

Our goal is to break down each musical piece into its fundamental components, unveiling hidden patterns and insights.

Music Captioning

Automatically generate descriptive text for any audio track

Music Tagging

Label tracks with genre, mood, and instrumentation

Music Separation

Isolate vocals, instruments, or specific sound layers

Music Structure Analysis

Detect verses, choruses, and bridges

Melody Extraction

Pinpoint lead melodies for remixing

Music Information Retrieval

Advanced signal processing

Search

We're developing innovative ways to find and compare music, whether by text, audio, or even images.

Music Similarity

Identify tracks with shared characteristics

Sample Similarity

Match audio clips to sound libraries

Text-to-Music Search

Find music through keywords

Image-to-Music Search

Match audio to visual mood

Audio-to-Music Search

Find similar tracks

Cover Song Detection

Identify versions and samples

Combination

By fusing together different sources, timbres, or entire tracks, we create brand-new possibilities in music production.

Retrieval-Augmented Generation

Enhanced AI composition

Stem Generation

Create new instrumental layers

Music Generation

Compose from prompts and constraints

Timbre Modeling

Morph sound qualities

Multitrack Modeling

Orchestrate multiple layers

Automatic Mixing

Balance and spatial placement

License

We're committed to pioneering ethical, seamless ways to distribute and protect AI-generated music assets.

Blockmusic Distribution

Transparent ownership tracking

Stem Distribution

Flexible remix licensing

Music Fingerprinting

Track usage across platforms

Adaptation Rights

Simplified licensing

AI Remix

Automated rights management

AI Radio

Dynamic programming

Interested in Collaborating?

We're always looking for research partners, test users, and collaborators who share our vision for the future of music technology.