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McNemar's test
In statistics, McNemar's test is a statistical test used on paired nominal data. It is applied to contingency tables with a dichotomous trait, with matched pairs of subjects, to determine whether the row and column marginal frequencies are equal (that is, whether there is "marginal homogeneity").
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Data Science
Related
Dimensions of ASR Variation
LibriSpeech
The Switchboard corpus
The CALLHOME corpus
CORALL
CHiME
The HKUST Mandarin Telephone Speech corpus
The AISHELL-1 corpus
Feature Vector
Analog-to-digital Conversion
Automatic Speech Recognition Architecture
Word Error Rate
The Matched-Pair Sentence Segment Word Error (MAPSSWE) test
Disadvantage of McNemar's test
Intelligent Assistants
Acoustic Waves
Related
Dimensions of ASR Variation
LibriSpeech
The Switchboard corpus
The CALLHOME corpus
CORALL
CHiME
The HKUST Mandarin Telephone Speech corpus
The AISHELL-1 corpus
Feature Vector
Analog-to-digital Conversion
Automatic Speech Recognition Architecture
Word Error Rate
The Matched-Pair Sentence Segment Word Error (MAPSSWE) test
Disadvantage of McNemar's test
Intelligent Assistants
Acoustic Waves