audio classification
MAEST
Music audio transformers trained on Discogs labels for music representation and style tagging; also in Essentia.

Levelmodel
Classaudio classification
Parameters86.86M
Contextnot in the notes
Released28 Sep 2023
Opennessopen weights restricted
Runs onnot in the notes
Statusactive
Identity
- Developer
- Universitat Pompeu Fabra (Music Technology Group)
- Family
- not in the notes
- Released
- 28 Sep 2023 sourcesannouncement page
- Weights published
- –
- Record checked
- 12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- dense transformer
- Total parameters
- 86.86M sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- audio
- Output
- not in the notes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights restricted
- Licence
- Creative Commons Attribution-NonCommercial-ShareAlike 4.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
Model
MAESTUniversitat Pompeu Fabra (Music Technology Group), audio classification
MAESTUniversitat Pompeu Fabra (Music Technology Group), audio classificationUse Casesnone recorded
Who Runs Itnone recorded
Sources
- arxiv.org/abs/2309.16418 https://arxiv.org/abs/2309.16418
- huggingface.co/mtg-upf/discogs-maest-30s-pw-129e https://huggingface.co/mtg-upf/discogs-maest-30s-pw-129e
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "MAEST", https://aurion.semai.id/models/universitat-pompeu-fabra-maest/, records of October 2026.