zlacker

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1. yellow+(OP)[view] [source] 2020-06-09 00:29:33
Neat! Wonder what service they are using for the transcription as some of the results are pretty rough probably from both poor quality audio and a unique lexicon. Custom speech models could probably go a long way here to clean it up and I would bet there’s some public interest in contributing transcriptions for training if the site allowed user submitted corrections. Having this indexed and searchable could be powerful.
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