WER by Accent and Noise: SUMIFS, Pooled vs Average
This lesson is part of the course
In this lesson
You break the WER down by accent and by noise condition with SUMIFS, compare the pooled WER with the plain average of recording WERs, measure the noise penalty and chart the accent gap.
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Lessons in this course
- Word Error Rate: (S + D + I) / N from Alignment Counts Locked
- Word-by-Word Comparison: Labelling C, S, D and I Locked
- Edit Distance by Dynamic Programming: the Levenshtein Table Locked
- Character Error Rate: Splitting Strings with MID Locked
- WER by Accent and Noise: SUMIFS, Pooled vs Average Locked
- Real-Time Factor & Latency Percentiles Locked
- Custom Vocabulary: Measuring the Before/After Impact Locked
- Model Comparison: Cost per Audio Hour vs Accuracy Locked