speaker
DiariZen (WavLM Large s80 md v2)
Speaker diarization model trained on far-field single-channel audio, using a structurally pruned WavLM Large.
Levelmodel
Classspeaker
Parameters63.3M
Contextnot in the notes
Released9 Dec 2025
Opennessopen weights restricted
Runs onnot in the notes
Statusactive
R&D Topics
Identity
- Developer
- Brno University of Technology (BUT Speech@FIT)
- Family
- not in the notes
- Released
- 9 Dec 2025 sourcesregistry date
- 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
- other EEND with pruned WavLM Large and Conformer layers
- Total parameters
- 63.3M sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- WavLM Large pruned from 316.6M to 63.3M parameters.
- Context length
- not in the notes
- Input
- audio
- Output
- labels and boxes
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 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
ModelDiariZen (WavLM Large s80 md v2)Brno University of Technology (BUT Speech@FIT), speaker
DiariZen (WavLM Large s80 md v2)Brno University of Technology (BUT Speech@FIT), speakerR&D TopicsSpeaker Diarization
Use Casesnone recorded
Who Runs Itnone recorded
Sources
- huggingface.co/BUT-FIT/diarizen-wavlm-large-s80-md-v2 https://huggingface.co/BUT-FIT/diarizen-wavlm-large-s80-md-v2
- github.com/BUTSpeechFIT/DiariZen https://github.com/BUTSpeechFIT/DiariZen
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "DiariZen (WavLM Large s80 Md v2)", https://aurion.semai.id/models/brno-university-of-technology-diarizen/, records of October 2026.