eviks a day ago

unfortunately no actual measure of quality given in the article

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  • 1659447091 a day ago

    >> By harnessing SpeechAnalyzer and SpeechTranscriber on-device, the command line tool tore through the 7GB video file a full 55% faster than MacWhisper’s Large V3 Turbo model, with no noticeable difference in transcription quality.

        App           Transcripiton Time
    --------------------------------
    Yap (uses Apple APIs)       0:45
    MacWhisper (Large V3 Turbo) 1:41
    VidCap                      1:55
    MacWhisper (Large V2)       3:55
    >> All three transcription workflows had similar trouble with last names and words like “AppStories,” which LLMs tend to separate into two words instead of camel casing.
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    • eviks a day ago

      Did you forget to paste the 3rd "Transcription Quality Metric" column?

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  • GeekyBear a day ago

    It sounds like the quality is better than YouTube's.

    > a game changer for anyone who uses voice transcription to create text from lectures, podcasts, YouTube videos, and more... generating transcripts that I upload to YouTube because the site’s built-in transcription isn’t very good.

    and on par with Whisper.

    > SpeechAnalyzer and SpeechTranscriber – available across the iPhone, iPad, Mac, and Vision Pro – mark a significant leap forward in transcription speed without compromising on quality

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