speaker
pyannote Precision-2
Commercial diarization model; vendor claims lowest DER in all ten benchmark domains, no figure given.
Levelmodel
Classspeaker
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessproprietary
Runs onnot in the notes
Statusactive
R&D Topics
Identity
- Developer
- pyannoteAI
- Family
- not in the notes
- Released
- – sources
- Weights published
- –
- Record checked
- 10 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
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint 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
- proprietary
- Licence
- Proprietary sources
- Access routes
- API
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- API or on-prem, from EUR 0.096/hr
- 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
DeveloperpyannoteAIstartup, France
pyannoteAIstartup, FranceModelpyannote Precision-2pyannoteAI, speaker
pyannote Precision-2pyannoteAI, speakerR&D TopicsSpeaker Diarization
Use Casesnone recorded
Who Runs Itnone recorded
Organisations 1
Sources
- Top 7 Speaker Diarization APIs and Models in 2026 - pyannoteAI Speaker Intelligence and Diarization pyannote.ai https://www.pyannote.ai/blog/top-7-speaker-diarization-apis-and-models-in-2026
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Pyannote Precision-2", https://aurion.semai.id/models/pyannoteai-pyannote-precision-2/, records of October 2026.