Clean Chinese SRT subtitle files by correcting misrecognized terms and filler words.
npx skills add https://github.com/river-walras/virtus --skill srt-cleaner
Please help me install this Agent Skill. Skill: srt-cleaner Source: https://github.com/river-walras/virtus/tree/main/skills/srt-cleaner Command: npx skills add https://github.com/river-walras/virtus --skill srt-cleaner
Clean and fix Chinese SRT subtitle files generated by speech recognition, addressing misrecognized terms and frequent filler words like 啊/嗯/呢/这个.
Load a Chinese SRT file and let the skill identify misrecognitions and filler words, then confirm and apply the recommended corrections.
High-intent search queries and answers about installing and using this skill.
To clean Chinese SRT subtitles, load the file into the skill to scan entries and identify misrecognized terms and filler words. It guides a stepwise correction process, applying edits based on your confirmation while preserving timestamps and numbering.
You can remove filler words like 啊 and 嗯 from SRT files by presenting misrecognition candidates for user confirmation. The skill automatically removes or replaces frequent filler words based on your directed approval.
Yes, you can fix misrecognized terms in Chinese transcription editing without losing timestamps. The skill applies edits while preserving timestamps and numbering, handling edge cases like empty entries to maintain subtitle continuity.
The best way to correct speech recognition errors in Chinese subtitle files is using a stepwise correction process with user confirmation. This ensures misrecognized terms and frequent filler words are accurately identified and conditionally deleted or substituted.
Yes, SRT cleaning supports conditional deletions and substitutions for transcription editing. The skill identifies recognition errors and filler words, applying edits only as directed by your explicit approval during the correction process.
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