# lablab-ai/Whisper-transcription\_and\_diarization-speaker-identification-

<https://repo.masters-masters.com/en/repos/lablab-ai/Whisper-transcription_and_diarization-speaker-identification->

[Home](https://repo.masters-masters.com/en) › [lablab-ai](https://repo.masters-masters.com/en/owners/lablab-ai) › [Whisper-transcription\_and\_diarization-speaker-identification-](https://repo.masters-masters.com/en/repos/lablab-ai/Whisper-transcription_and_diarization-speaker-identification-)

lablab-ai/Whisper-transcription\_and\_diarization-speaker-identification- has 382 stars on GitHub. Its RepoMasters card: Alpha tier. Language: Jupyter Notebook.

| Field | Value |
| --- | --- |
| Owner | [lablab-ai](https://repo.masters-masters.com/en/owners/lablab-ai) |
| Stars | 382 |
| Forks | 47 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2022 |
| Topics | openai, python, whisper |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [lablab-ai/Whisper-transcription\_and\_diarization-speaker-identification-](https://github.com/lablab-ai/Whisper-transcription_and_diarization-speaker-identification-) |

## Repository

How to use OpenAIs Whisper to transcribe and diarize audio files

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.