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https://github.com/facebookresearch/wav2letter/issues/88 https://github.com/facebookresearch/wav2letter/issues/88 mentions a "pre-trained model named librispeec
by nh2 8y ago
https://github.com/facebookresearch/wav2letter/issues/88 https://github.com/facebookresearch/wav2letter/issues/88 mentions a "pre-trained model named librispeech-glu-highdropout.bin", but I couldn't find it anywhere.
https://github.com/facebookresearch/wav2letter/issues/93 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/README.md 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
The cache also includes a much more detailed README on how to use the software.
- taf2 8y agoThank you! I found that some of the forks also have the more detailed README files for example: https://github.com/19ai/wav2letter https://github.com/19ai/wav2letter
- nh2 8y agoThanks. 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.
- deleted 8y ago[deleted]
- woodson 8y agoI'm not sure if those models would work with the version in the current master (wav2letter++). The old version of the master branch (wav2letter, written in lua/torch: https://github.com/facebookresearch/wav2letter/tree/wav2letter-lua https://github.com/facebookresearch/wav2letter/tree/wav2lett...) contains links to the models you listed, so I guess they belong to that version.