Mindket

AI projects from Hugging Face

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Transcribes long recordings with several speakers in one pass, adding timestamps and anonymous speaker labels, in 50+ languages. For teams turning meetings, ca…

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VibeVoice-ASR

microsoft · Kit

An 8.7B speech-to-text model from Microsoft Research that transcribes up to 60 minutes in one pass, saying who spoke, when and what, with optional hotwords and…

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MOSS-Transcribe-Diarize

OpenMOSS-Team · Kit

Turns long recordings of several speakers into one timestamped transcript with anonymous speaker labels in a single pass, for teams that transcribe meetings, c…

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Works out who spoke when in a recording, with up to eight speakers, in streaming or offline mode, and can add speaker labels to a transcript. For people who pr…

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FASTDIAR

herimor · Kit

Labels who is speaking in an audio file or live microphone stream as it plays, about one second behind. A demo for speech developers and researchers who work o…

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