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Pre-trained models

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@SeanNaren SeanNaren released this 24 Aug 13:27
· 336 commits to master since this release

Supplied are a set of pre-trained networks that can be used for evaluation. Do not expect these models to perform well on your own data! They are heavily tuned to the datasets they are trained on.

Results are given using greedy decoding. Expect a well trained language model to reduce WER/CER substantially.

AN4

Download here.

Dataset WER CER
AN4 test 10.52 4.78

LibriSpeech

Download here.

Dataset WER CER
Librispeech clean 11.20 3.36
Librispeech other 31.31 12.29

TEDLIUM

Download here.

Dataset WER CER
TED test 34.01 13.14