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wavecap-hallucination

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Filter Whisper AI hallucinations.

Software Engineering#speech recognition#transcription#audio processing#whisper ai#hallucination#noise reduction
AuthorTobiasWooldridge
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the issue of Whisper AI generating inaccurate transcriptions, such as gibberish, repeated phrases, or phantom text, especially on silent or low-quality audio.

Core Features & Use Cases

  • Hallucination Detection: Identifies and filters out common hallucinated phrases on low-energy audio.
  • Segment Repetition: Detects and discards excessively repeated phrases.
  • Blank Audio Handling: Emits [BLANK_AUDIO] tokens for segments with minimal speech energy.
  • Use Case: When transcribing a meeting with long silences, this skill prevents the AI from outputting nonsensical phrases like "thank you for watching" during those quiet moments.

Quick Start

Use the wavecap-hallucination skill to configure Whisper to ignore the phrase "thank you for watching" when it appears on silent audio.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: wavecap-hallucination
Download link: https://github.com/TobiasWooldridge/WaveCap/archive/main.zip#wavecap-hallucination

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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