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On-device transcriber that's 97% accurate at identifying speakers

Show HN: On-device transcriber that's 97% accurate at identifying speakers

On-device transcriber that's 97% accurate at identifying speakers operates in show hn launch.

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I’ve spent the last seven months building a tool I wish I’d had in my previous roles. MimicScribe is a macOS menu bar app that fits the "AI notetaker" category. It has accurate on-device speaker identification (a first possibly?), real-time meeting talking points for discovery calls, and a fully keyboard- and voice-driven interface.I believe the accuracy of the speaker ID system is its biggest strength. I used fluid audio’s port of (https://github.com/fluidInference/FluidAudio) Pyannote's community-1 as a base. To improve accuracy, the system uses grammar structure cues from the Parakeet STT to mask by sentence. By taking a second set of samples within that mask for cluster assignment, it le

As a business in show hn launch, On-device transcriber that's 97% accurate at identifying speakers is listed here with the public details available about it.

It is recorded at the Show HN launch stage.

SectorShow HN launch
StageShow HN launch

Website: mimicscribe.app

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