Why removing 'um' from a recording is harder than it sounds

🔊 Removing 'Um' from Recordings: A Complex Task



Removing filler words like 'um', 'uh', and 'erm' from recordings is a challenging task due to the nuances of speech patterns and the need for precise audio editing. This process involves analyzing audio files, identifying and isolating filler words, and seamlessly removing them without disrupting the natural flow of speech. Effective removal requires advanced algorithms and manual oversight to maintain the integrity and authenticity of the recording.

guid

https://news.ycombinator.com/item?id=48498421

source_url

https://doug.sh/posts/erm-a-local-cli-that-strips-ums-uhs-and-erms-from-speech/

author_name

dougcalobrisi

id: 3730
uid: 08p2a
insdate: 2026-06-12 02:05:13
title: Why removing 'um' from a recording is harder than it sounds
additional:

🔊 Removing 'Um' from Recordings: A Complex Task



Removing filler words like 'um', 'uh', and 'erm' from recordings is a challenging task due to the nuances of speech patterns and the need for precise audio editing. This process involves analyzing audio files, identifying and isolating filler words, and seamlessly removing them without disrupting the natural flow of speech. Effective removal requires advanced algorithms and manual oversight to maintain the integrity and authenticity of the recording.
category: Hacker News
md5:
guid: https://news.ycombinator.com/item?id=48498421
source_url: https://doug.sh/posts/erm-a-local-cli-that-strips-ums-uhs-and-erms-from-speech/
updated:
image:
author_name: dougcalobrisi
author_link:
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