{
    "author": null,
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    "domain": "kylrth.com",
    "excerpt": "RNNs generally require pre-segmented training data, but this avoids that need.Basically, you have the RNN output probabilities for each label (or a blank) for every frame, and then you find the most…",
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    "title": "Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks",
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    "url": "https://kylrth.com/paper/ctc/",
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