Custom Vocabulary: Measuring the Before/After Impact
This lesson is part of the course
In this lesson
You measure how a custom-vocabulary boost changes the error rate of eight domain terms, express the gain as a relative reduction, and check what it does to the WER of the whole test set once new false hits are counted.
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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