symblai/speech-recognition-evaluation
Evaluate results from ASR/Speech-to-Text quickly
This tool helps you quickly assess how accurately an automated speech-to-text system transcribes audio. You provide two text files: one with a human-generated transcript (the 'gold standard') and another from the automated system. It then calculates metrics like Word Error Rate and highlights differences to show you how well your speech recognition is performing. This is for anyone who uses or develops speech-to-text systems and needs to evaluate their accuracy.
No commits in the last 6 months. Available on npm.
Use this if you need to compare the quality of an automatically generated transcript against a human-verified one to understand its accuracy.
Not ideal if you need to transcribe audio files; this tool focuses solely on evaluating existing text transcripts.
Stars
41
Forks
7
Language
JavaScript
License
Apache-2.0
Category
Last pushed
Dec 28, 2021
Commits (30d)
0
Dependencies
4
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