WER by Accent and Noise: SUMIFS, Pooled vs Average
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Lessons in this course
- Word Error Rate: (S + D + I) / N from Alignment CountsFree
- Word-by-Word Comparison: Labelling C, S, D and I Pro
- Edit Distance by Dynamic Programming: the Levenshtein Table Pro
- Character Error Rate: Splitting Strings with MID Pro
- WER by Accent and Noise: SUMIFS, Pooled vs Average Pro
- Real-Time Factor & Latency Percentiles Pro
- Custom Vocabulary: Measuring the Before/After Impact Pro
- Model Comparison: Cost per Audio Hour vs Accuracy Pro