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Noisy ASR annotations and transcript aggregation

Several annotators transcribe the same low-resource-language audio and produce inconsistent text, numbers and addresses. How do you clean or aggregate the labels?

Answer as you would in an interview

Answer aloud or write down a few key points. The text field is optional; the review opens after your attempt.

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Noisy ASR annotations and transcript aggregation — interview question — ML Mentor