Data & Datasets · Level 2 of 5
Data Augmentation
Creating altered training examples using transformations believed to preserve useful meaning.
Invalid transformations can corrupt labels.
Example
An audio clip is shifted slightly in time while retaining its transcript.
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Audio transcript
Data Augmentation. Creating altered training examples using transformations believed to preserve useful meaning. Invalid transformations can corrupt labels. For example: An audio clip is shifted slightly in time while retaining its transcript.
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Why it matters
This helps you prevent misleading experiments caused by data preparation and split mistakes.
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