[KongchangAI]
Unverified50% confidenceFactExact time

Word Error Rate (WER) is the most commonly used evaluation metric in the ASR field; it is calculated by aligning recognition results with reference text and dividing the total number of substitution, deletion, and insertion errors by the number of words in the reference text.

1
Sources
50%
Confidence
Long-term
Relevance
10/7/2026
First Seen

Sources

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Stable URI
https://kongchang.com/claim/985824
API
curl https://kongchang.com/api/v1/knowledge/claims/985824
MCP
get_claim(id=985824)