speaker-diarization EU AI Act Compliance Profile
pyannote
Your risk depends on how you use speaker-diarization
| Usage Context | Risk Level | Obligations |
|---|---|---|
| Internal coding tool | MINIMAL | 3 obligations (~12h) |
| Customer support bot | LIMITED | 7 obligations (~32h) |
| HR screening / hiring | HIGH | 19 obligations (~120h) |
| Credit decisions | HIGH | 19 obligations (~120h) |
| Medical triage | HIGH | 19 obligations (~120h) |
Why this tool is classified as LIMITED RISK
speaker-diarization is a speech recognition model by pyannote. Built with pyannote-audio. Licensed under mit. 743.9K downloads on HuggingFace.
Applicable Articles
Who does what
pyannote (provider)Their job
- Provider obligations being compiled
You (deployer)Your job
- •AI Literacy (Art. 4) (Art. 4)
- •AI Disclosure (Art. 50) (Art. 50)
Risk Assessment Reasoning
The speaker-diarization tool processes audio data to identify and differentiate between speakers, which can raise privacy concerns but does not pose significant risks to health, safety, or fundamental rights. Its use is generally limited to specific applications without high-stakes implications.
More models by pyannote
Similar Speech Recognition models
Frequently Asked Questions
What is speaker-diarization's EU AI Act risk classification?
+
speaker-diarization is classified as LIMITED RISK under the EU AI Act.
What are my obligations if I deploy speaker-diarization?
+
As a speaker-diarization deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.
What is speaker-diarization?
+
speaker-diarization is a Speech Recognition model by pyannote. It has 743.9K downloads on HuggingFace. Licensed under mit.
What are the EU AI Act deadlines for speaker-diarization?
+
Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02.
Check speaker-diarization compliance in your codebase
One command to scan. Open-source CLI.