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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?

dindresto 8y ago
I was wondering the same. Also, it's weird the issues on the repository are all older than the first commit.
- ISV_Damocles 8y ago
  They probably squashed the history before release because they only got legal's approval on the current state of the repo and not all prior history (which may or may not have had hacks referencing internal systems at some time).
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 ago
  Thank 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 ago
    Thanks. 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 ago
  I'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.

dindresto 8y ago

I was wondering the same. Also, it's weird the issues on the repository are all older than the first commit.

ISV_Damocles 8y ago
They probably squashed the history before release because they only got legal's approval on the current state of the repo and not all prior history (which may or may not have had hacks referencing internal systems at some time).

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 ago
Thank 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 ago
  Thanks. 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 ago
I'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.