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Why does data for speech recognition need to be prefect. That's certainly not the case for other machine learning applications. Can you train the less clean data and fine-tune on a clean subset?

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Well that was kind of my point: you need to manually figure out what’s clean and what isn’t.

But it's easy to do that for a small subset for finetuning compared to cleaning up the entire dataset.

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