Erm: A Local CLI Tool for Removing Speech Disfluencies from Audio Recordings
By
"Doug Calobrisi"
Baker's choice. Dense with flavour, light on filler.
Summary
A developer built "erm," a free, open-source, local CLI tool that removes disfluencies (ums, uhs, ers) from English speech recordings. It uses faster-whisper for transcription, audio-level detectors, and ffmpeg to produce cleaned audio files and JSON cut lists. The tool runs entirely locally, respects privacy, and is designed for podcasters, voiceover artists, and anyone editing spoken audio.
Key quotes
· 3 pulledLinguists have a word for the ums, uhs, ers, and elongated versions (ummmm, uhhhhh) that pad spoken English: disfluencies.
I don't record a lot of voice audio, but a few friends do, and they tell me editing those out by hand is miserable. So I built erm to do it.
That's the whole interface for the common case. It writes a cleaned .wav and a JSON cut list next to the
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