wavecap-evaluate
CommunityAssess WaveCap transcription accuracy.
AuthorTobiasWooldridge
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need to objectively measure and improve the accuracy of audio transcriptions generated by the WaveCap system, ensuring reliable and high-quality output.
Core Features & Use Cases
- Automated Accuracy Metrics: Calculate Word Error Rate (WER) and Character Error Rate (CER) against ground truth.
- Regression Testing: Export audio and expected transcripts to run automated tests and track accuracy over time.
- Use Case: A product manager wants to verify that a recent update to the Whisper model in WaveCap has not degraded transcription accuracy. They use this skill to run a suite of regression tests against a known dataset and compare the WER before and after the update.
Quick Start
Use the wavecap-evaluate skill to export reviewed transcriptions for regression testing.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 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-evaluate Download link: https://github.com/TobiasWooldridge/WaveCap/archive/main.zip#wavecap-evaluate Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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