Audio modelLimited access
pyannote Community-1
pyannote
- Released
- -
- Data date
- October 3, 2026
- Model class
pyannote Community-1 is a local pipeline for speaker diarization and exclusive diarization. It expects mono audio at 16 kHz and returns speaker segments, not transcription or spoken output.
Hugging Face requires contact information and acceptance of the terms before download. That access gate remains in place even though the pipeline can run locally under CC-BY-4.0.
Specifications and access
| Specification | Value and source |
|---|---|
| Model class | Speaker diarization pipelineSource |
| Access | Local pipeline with an access gateSource |
| Input | Mono audio at 16 kHzSource |
| Output | Speaker segments and exclusive diarizationSource |
| Checkpoint | pyannote/speaker-diarization-community-1Source |
| License | CC-BY-4.0Source |
| Access gate | Hugging Face contact information and terms must be accepted before downloadSource |
| Pipeline | Local pyannote.audio pipeline; no Inference Provider entrySource |
| Audio format | Mono, 16 kHzSource |
Measurements without matching peer values
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
AISHELL-4 DER (Show measurement, test conditions, and source)
- Source value
- 11.7
- Score
- 11.7
- Metric
- diarization error rate
- Unit
- %
- Benchmark version
- source version not stated
- Category
- audio
- Direction
- Lower is better
- Source type
- vendor-reported
- Evaluator
- pyannote Community-1 model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Fully automatic, no collar, overlap not skipped
- Context
- Source-specific observation; it does not establish a compatible cross-model cohort.
AliMeeting ch1 DER (Show measurement, test conditions, and source)
- Source value
- 20.3
- Score
- 20.3
- Metric
- diarization error rate
- Unit
- %
- Benchmark version
- source version not stated
- Category
- audio
- Direction
- Lower is better
- Source type
- vendor-reported
- Evaluator
- pyannote Community-1 model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Fully automatic, no collar, overlap not skipped
- Context
- Source-specific observation; it does not establish a compatible cross-model cohort.
AMI IHM DER (Show measurement, test conditions, and source)
- Source value
- 17
- Score
- 17
- Metric
- diarization error rate
- Unit
- %
- Benchmark version
- source version not stated
- Category
- audio
- Direction
- Lower is better
- Source type
- vendor-reported
- Evaluator
- pyannote Community-1 model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Fully automatic, no collar, overlap not skipped
- Context
- Source-specific observation; it does not establish a compatible cross-model cohort.
AMI SDM DER (Show measurement, test conditions, and source)
- Source value
- 19.9
- Score
- 19.9
- Metric
- diarization error rate
- Unit
- %
- Benchmark version
- source version not stated
- Category
- audio
- Direction
- Lower is better
- Source type
- vendor-reported
- Evaluator
- pyannote Community-1 model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Fully automatic, no collar, overlap not skipped
- Context
- Source-specific observation; it does not establish a compatible cross-model cohort.
AVA-AVD DER (Show measurement, test conditions, and source)
- Source value
- 44.6
- Score
- 44.6
- Metric
- diarization error rate
- Unit
- %
- Benchmark version
- source version not stated
- Category
- audio
- Direction
- Lower is better
- Source type
- vendor-reported
- Evaluator
- pyannote Community-1 model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Fully automatic, no collar, overlap not skipped
- Context
- Source-specific observation; it does not establish a compatible cross-model cohort.
CALLHOME part2 DER (Show measurement, test conditions, and source)
- Source value
- 26.7
- Score
- 26.7
- Metric
- diarization error rate
- Unit
- %
- Benchmark version
- source version not stated
- Category
- audio
- Direction
- Lower is better
- Source type
- vendor-reported
- Evaluator
- pyannote Community-1 model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Same table
- Context
- Source-specific observation; it does not establish a compatible cross-model cohort.
DIHARD III full DER (Show measurement, test conditions, and source)
- Source value
- 20.2
- Score
- 20.2
- Metric
- diarization error rate
- Unit
- %
- Benchmark version
- source version not stated
- Category
- audio
- Direction
- Lower is better
- Source type
- vendor-reported
- Evaluator
- pyannote Community-1 model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Same table
- Context
- Source-specific observation; it does not establish a compatible cross-model cohort.
Ego4D development DER (Show measurement, test conditions, and source)
- Source value
- 46.8
- Score
- 46.8
- Metric
- diarization error rate
- Unit
- %
- Benchmark version
- source version not stated
- Category
- audio
- Direction
- Lower is better
- Source type
- vendor-reported
- Evaluator
- pyannote Community-1 model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Same table
- Context
- Source-specific observation; it does not establish a compatible cross-model cohort.
MSDWild DER (Show measurement, test conditions, and source)
- Source value
- 22.8
- Score
- 22.8
- Metric
- diarization error rate
- Unit
- %
- Benchmark version
- source version not stated
- Category
- audio
- Direction
- Lower is better
- Source type
- vendor-reported
- Evaluator
- pyannote Community-1 model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Same table
- Context
- Source-specific observation; it does not establish a compatible cross-model cohort.
RAMC DER (Show measurement, test conditions, and source)
- Source value
- 20.8
- Score
- 20.8
- Metric
- diarization error rate
- Unit
- %
- Benchmark version
- source version not stated
- Category
- audio
- Direction
- Lower is better
- Source type
- vendor-reported
- Evaluator
- pyannote Community-1 model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Same table
- Context
- Source-specific observation; it does not establish a compatible cross-model cohort.
REPERE DER (Show measurement, test conditions, and source)
- Source value
- 8.9
- Score
- 8.9
- Metric
- diarization error rate
- Unit
- %
- Benchmark version
- source version not stated
- Category
- audio
- Direction
- Lower is better
- Source type
- vendor-reported
- Evaluator
- pyannote Community-1 model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Same table
- Context
- Source-specific observation; it does not establish a compatible cross-model cohort.
VoxConverse DER (Show measurement, test conditions, and source)
- Source value
- 11.2
- Score
- 11.2
- Metric
- diarization error rate
- Unit
- %
- Benchmark version
- source version not stated
- Category
- audio
- Direction
- Lower is better
- Source type
- vendor-reported
- Evaluator
- pyannote Community-1 model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Same table
- Context
- Source-specific observation; it does not establish a compatible cross-model cohort.
Sources and data date
Every statement links to its underlying documentation or leaderboard.
| Type | Evidence and data date |
|---|---|
| Research status | Research date October 4, 2026. 1 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Additional source | pyannote Community-1 model card (retrieved October 3, 2026; October 4, 2026) · pyannote Community-1 model card · Editorial description reviewed October 3, 2026 |