I tested the timit dataset using the pre trained model and the wer value of my result is 26

[JRMeyer]

>>> jackhuang
[January 2, 2018, 11:40am]

Does anyone get the same result with me？

[This is an archived TTS discussion thread from discourse.mozilla.org/t/i-tested-the-timit-dataset-using-the-pre-trained-model-and-the-wer-value-of-my-result-is-26]

[JRMeyer]

>>> lissyx
[January 5, 2018, 5:36am]

Can you elaborate a little bit on your process ?

[Archived Post]

[JRMeyer]

>>> keelan.evanini
[January 12, 2018, 11:29am]

I ran the following command using the pre-trained model for each of the
1680 files in the TIMIT test partition:

$ python DeepSpeech/native_client/python/client.py DeepSpeech/models/output_graph.pb <audio_file> DeepSpeech/models/alphabet.txt

This resulted in a microaveraged WER of 31.7% (3,817 substitutions, 362
insertions, and 424 deletions for 14,518 reference words).



[Best way to get a baseline WER with the pre-trained model on my own
test set

[Archived Post]