Did they release a model to go with this (so that the average dev can actually use this in their app) or is this just a tool for researchers?
https://github.com/facebookresearch/wav2letter/issues/93 also mentions a pre-trained model but without any reference which one or where to find it.
Googling "librispeech-glu-highdropout.bin" still shows the text "luajit ~/wav2letter/test.lua ~/librispeech-glu-highdropout.bin -progress -show -test dev-clean -save -datadir ~/librispeech-proc/ -dictdir ~/librispeech-proc/ -gfsai ..." for https://github.com/facebookresearch/wav2letter/blob/master/R..., but clicking it, it's gone.
But the Google Cache still has the result, including 3 pre-trained models:
wget https://s3.amazonaws.com/wav2letter/models/librispeech-glu-highdropout.bin
wget https://s3.amazonaws.com/wav2letter/models/librispeech-glu-highdropout-cpu.bin
wget https://s3.amazonaws.com/wav2letter/models/librispeech-glu-lowdropout.bin
It would be great if anybody could build it all and try if the out-of-the-box experience with the pretrained model is good.
I've tried Mozilla's DeepSpeech a few times but so far it didn't recognise "this is a test" reliably without mistake out of the box from a good microphone.