whisperX and whisper-diarization
WhisperX extends Whisper with optimized word-level timestamps and integrated diarization capabilities, while whisper-diarization is a standalone diarization wrapper around base Whisper, making them competitors offering similar speaker attribution features with different implementation approaches.
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.
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.
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