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Speaker Labels Burned a Full Hour of Compute and Returned Nothing. One Voice Print Per Phrase Fixed It

This story is from 2026-10-11. It is preserved in the archive; the latest stories are on the live feed.

I run a visa agency in Bali. The part of my work that has nothing to do with visas is building Actors on Apify, and one of them is a transcriber: you give it an audio or video URL, it runs Whisper large v3 and gives back text with timecodes. Transcription was the easy half. The feature that nearly…

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  1. 2026-10-11 13:12 · DEV Community — Machine Learning
    Speaker Labels Burned a Full Hour of Compute and Returned Nothing. One Voice Print Per Phrase Fixed It

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