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Arc-Transcriber

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Headlines · 1

  1. Developer presents Arc-Transcriber streaming speech model

    WhissleAI developer Working_Hat5120 presented Arc-Transcriber on r/MachineLearning, describing it as an approximately 70 MB streaming model that combines speech recognition and named-entity linking in one pass. The developer says the model returns a transcript every 100 milliseconds and can link spoken names to a user-supplied list, extract values, identify speakers and audio events, and apply more than 200 trained decision heads. Two variants are described: Arc mini with a Moonshot-pretrained encoder and Arc-v1 with a Parakeet-pretrained encoder.

    r/MachineLearning · 🔥 0

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