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Whistle

Assess

Tools

An on-device speech recognition model for transcription, timestamps, and embeddings.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by model releases, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

  • 7Hacker News·10/8/2026model_release
    Whistle: 16.9 MB On-Device Speech-to-Text Model

    Whistle is a compact speech recognition model designed to run entirely on-device on CPUs with no dependencies. It supports transcription, word-level timestamps, and speech embeddings for up to 30 seconds of audio in seven languages, with audio never leaving the device.