whisperX and gpt-speaker-diarization

whisperX

Verified

gpt-speaker-diarization

Experimental

Maintenance 20/25

Adoption 15/25

Maturity 25/25

Community 20/25

Maintenance 0/25

Adoption 5/25

Maturity 8/25

Community 10/25

Stars: 20,758

Forks: 2,188

Downloads: —

Commits (30d): 11

Language: Python

License: BSD-2-Clause

Stars: 14

Forks: 2

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: —

No risk flags

No License Stale 6m No Package No Dependents

About whisperX

m-bain/whisperX

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

This tool helps you accurately transcribe audio recordings, providing not just the words but also precise timestamps for each word. It can also identify who is speaking at any given time, separating conversations by speaker. Anyone who needs highly accurate transcripts for audio analysis, subtitling, or content review would find this useful, such as researchers, journalists, or content creators.

audio-transcription speech-to-text speaker-diarization subtitling qualitative-research

About gpt-speaker-diarization

ElmiraGhorbani/gpt-speaker-diarization

Conversational Speaker Diarization using OpenAI AI Language Models(gpt-4) and OpenAI Whisper.

This tool helps organize who said what in a conversation. You provide an audio recording, and it gives you a written transcript where each sentence is clearly labeled with the speaker. This is perfect for anyone analyzing interviews, meetings, or customer service calls to understand individual contributions.

Meeting analysis Interview transcription Call center analytics Qualitative research Content analysis

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