Counting filler words when speech-to-text deletes them
We wanted a one-minute speaking test that gives a learner three numbers: words a minute, filler words and long pauses. The browser's speech recognizer would do the hard part. We'd count. It turns out the transcript fights you on all three. Lie 1: the model cleans up "um" Speech recognizers are trai…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-11-07 12:34 · DEV Community — AI
Counting filler words when speech-to-text deletes them