whisper-diarization and whisper-run
These are competitors offering similar end-to-end solutions for combining Whisper ASR with speaker diarization, though the second prioritizes inference speed optimization while the first has gained significantly more community adoption.
About whisper-diarization
MahmoudAshraf97/whisper-diarization
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
This tool helps you automatically transcribe audio recordings and identify who said what. You provide an audio file, and it delivers a text transcript where each sentence is attributed to a specific speaker. This is useful for anyone needing to analyze conversations, meetings, or interviews, such as researchers, journalists, or content creators.
About whisper-run
gorkemkaramolla/whisper-run
Faster Whisper with Speaker Diarization
Quickly and accurately transcribe audio recordings and identify who said what, even with multiple speakers. It takes an audio file as input and produces a detailed JSON file showing the text spoken and the exact speaker for each segment. This is for anyone who needs to convert spoken content from interviews, meetings, or podcasts into a structured, readable format.
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