whisper-diarization
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects
Good fit when
- You need advanced speech recognition capabilities paired with speaker diarization in your Python project.
- Your development environment supports Python 3.10 or later and you can install Cython and FFMPEG.
Avoid when
- If your project is restricted to use only open-source tools under the MIT license, as whisper-diarization uses the BSD-2-Clause license.
- Your environment cannot support Python 3.10 or later or you lack prerequisites such as Cython and FFMPEG installation rights.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (35d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No criticals
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/MahmoudAshraf97/whisper-diarizationSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Repository for implementing automated speech recognition and speaker diarization using the OpenAI Whisper model in Python.
Capability facts
- Languages
- jupyter notebook, python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
Python >= `3.10` is needed, `3.9` will work but you'll need to manually install the reSource link
Tags
README
Installation Python = is needed, will work but you'll need to manually install the requirements one by one. and are needed as prerequisites to install the requirements or ```shell
For agents
This page has a .md twin and JSON over the API.