de-mouth

Removes mouth errors from talking-head videos using ASR transcription and AI detection.

8.4k|1.4k|Updated Apr 24, 2024
One-click install
npx skills add https://github.com/TeamWiseFlow/xiaobei --skill de-mouth
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: de-mouth
Source: https://github.com/TeamWiseFlow/xiaobei/tree/main/addons/officials/crew/selfmedia-operator/skills/de-mouth
Command: npx skills add https://github.com/TeamWiseFlow/xiaobei --skill de-mouth

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ffmpeg, python3, pypdf2, asr, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill removes mouth errors from talking-head videos, ensuring high-quality content with ease.

Core Features & Use Cases

  • Mouth Error Detection: Detects and removes static, filler words, stutters, repeated sentences, and incomplete sentences.
  • Video Cleanup: Automatically cleans up videos by removing detected mouth errors.
  • Subtitle and Draft Generation: Generates subtitles and draft files for further editing in tools like JianYing.

Quick Start

Use the de-mouth skill to process the video 'presentation.mp4' and remove any mouth errors.

Frequently Asked Questions about de-mouth

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I remove filler words and stutters from a talking-head video?

To remove filler words and stutters from a talking-head video, this Skill uses audio signal processing and ASR transcription to detect static, repeated sentences, and incomplete sentences, automatically cleaning up the video for presentations.

What do I need to set up to automate mouth error removal from my videos?

Automating mouth error removal requires installing ffmpeg and python3, configuring specific ASR API keys, and providing your talking-head video file to process the audio signal and detect errors.

Can I generate subtitles and drafts for JianYing after cleaning up my talking-head video?

Yes, this Skill generates subtitles and draft files during the video cleanup process, allowing you to easily import the processed talking-head content into editing tools like JianYing for further editing.

Does this video cleanup process work for online content creation workflows?

Yes, this video cleanup process is designed for online video content creation workflows, post-production of presentations, and content creation by automatically detecting and removing mouth errors from talking-head videos.

What types of mouth errors can be detected and removed automatically?

The automatic mouth error detection removes static, filler words, stutters, repeated sentences, and incomplete sentences from your talking-head videos using AI-based error detection and ASR transcription.