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Anyone have any updates on this? I was not able to break 39% WER with DS1 or DS2, but always stopped after I observed overfitting in the val loss (around 5-7 epochs for DS2). What sorts of numbers are others hitting? Any hyperparameter configs that look promising?
kdavis-mozilla
changed the title
Train DeepSpeech on TED-LIUM target WER 5-10%
Train DeepSpeech to TED-LIUM WER 5-10% with various training data sets
Jun 29, 2017
kdavis-mozilla
changed the title
Train DeepSpeech to TED-LIUM WER 5-10% with various training data sets
Train DeepSpeech to obtain TED test WER 5-10% with various training data sets
Jun 29, 2017
kdavis-mozilla
changed the title
Train DeepSpeech to obtain TED test WER 5-10% with various training data sets
Train DeepSpeech to obtain TED test WER below 10% with various training data sets
Jun 29, 2017
kdavis-mozilla
changed the title
Train DeepSpeech to obtain TED test WER below 10% with various training data sets
Train DeepSpeech to obtain Librivox cClean test WER below 10% with various training data sets
Nov 21, 2017
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