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Facebook AI Research's Automatic Speech Recognition Toolkit

25 mentions on Hacker News by 18 people: 3 stories, 22 comments · first 2017-12-31 · latest 2021-01-05

Mentions per year 25 mentions · busiest year 2020 (12)
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  1. …licence) (disclaimer: I work at the university chair which develops these frameworks). Wav2Letter ( https://github.com/facebookresearch/wav2letter ), the tool by Facebook. These are probably just the most well known. There are many others…
  2. …). Attention-based encoder-decoder models mostly. * Facebook wav2letter ( https://github.com/facebookresearch/wav2letter ). ASG model/training. * Vosk ( https://github.com/alphacep/vosk-api ). Offline lightweight speech recognition
  3. …). Attention-based encoder-decoder models mostly. * Facebook wav2letter ( https://github.com/facebookresearch/wav2letter ). ASG model/training. * (RETURNN ( https://github.com/rwth-i6/returnn ) and RASR ( https://github.com/rwth-i6/
  4. …the value is. Like, there's nothing stopping firefox from just using wav2letter. It's BSD-licensed. https://github.com/facebookresearch/wav2letter
    comment by bananaface · 2020-08-09 · in Firefox Voice
  5. …[emit]=292.916ms (0.01x) [decode]=289.109ms (0.01x) [total]=582.025ms (0.01x) [1] https://github.com/facebookresearch/wav2letter/tree/master/r... [2] https://github.com/facebookresearch/wav2letter/issues/543#is... [3] https://github.com/fac
    comment by lunixbochs · 2020-04-15 · in Towards an ImageNet Moment for Speech-to-Text
  6. Particularly https://github.com/facebookresearch/wav2letter/blob/master/r... It uses a publicly available huge training set
  7. Facebook posted some of the models listed in their SOTA paper already. I haven’t tried these yet. https://github.com/facebookresearch/wav2letter/blob/master/r... My models are here: https://talonvoice.com/research/ I haven’t yet posted the…
  8. …test-clean: 3.80% WER test-other: 8.76% WER This is the 2019 wav2letter SOTA: https://github.com/facebookresearch/wav2letter/blob/master/r... Sure, one of their techniques is to semi supervised train on 60k hours of audio, so I’ll post
  9. ▲ 2
    Facebook AI Research's Automatic Speech Recognition Toolkit
    story by tingletech · 2020-01-14 · 0 comments
  10. …to the previous page · Go to News Feed · Visit our Help Center""" Edit: found a link that works https://github.com/facebookresearch/wav2letter
  11. Check out the tutorial here - https://github.com/facebookresearch/wav2letter/wiki/Inferenc...
    comment by vineelkpratap · 2020-01-13 · in Online speech recognition with wav2letter anywhere
  12. The models are here: https://github.com/facebookresearch/wav2letter/tree/master/r... https://github.com/facebookresearch/wav2letter/tree/master/r...
  13. The repository ( https://github.com/facebookresearch/wav2letter ) claims to come with pre-trained models for automated speech recognition.
    comment by notduncansmith · 2020-01-13 · in Online speech recognition with wav2letter anywhere
  14. …considered their speech. This video can be partially reproduced with the code and models from here: https://github.com/facebookresearch/wav2letter/issues/327 but most of our decoder optimizations post-date when I compiled that demo. Some…
    comment by lunixbochs · 2019-09-04 · in A 2019 Guide for Automatic Speech Recognition
  15. …a realtime mac demo of the acoustic model part of wav2letter++ including several trained models: https://github.com/facebookresearch/wav2letter/issues/327 Someone in that thread ported it to linux. This demo is just "acoustic model…
    comment by lunixbochs · 2019-09-04 · in A 2019 Guide for Automatic Speech Recognition
  16. …are a few other solutions worth looking at. Facebook has open sourced some pre-trained models: https://github.com/facebookresearch/wav2letter Picovoice has some smaller, more efficient models capable of running on edge devices:…
    comment by jamesonthecrow · 2019-09-04 · in A 2019 Guide for Automatic Speech Recognition
  17. …recognition engine, and porting Talon from Mac to cross-platform. [1] https://talonvoice.com [2] https://github.com/facebookresearch/wav2letter
    comment by lunixbochs · 2019-07-05 · in Ask HN: What are you working on?
  18. …though. [1] https://github.com/mozilla/DeepSpeech/releases/latest [2] https://voice.mozilla.org [3] https://github.com/facebookresearch/wav2letter [4] https://github.com/facebookresearch/wav2letter/issues/88
    comment by yorwba · 2018-12-31 · in Writing and coding by voice with Talon
  19. …master (wav2letter++). The old version of the master branch (wav2letter, written in lua/torch: https://github.com/facebookresearch/wav2letter/tree/wav2lett... ) contains links to the models you listed, so I guess they belong to that…
  20. ▲ 2
    Facebook AI Research Automatic Speech Recognition Toolkit
    story by soheil · 2018-12-23 · 0 comments
  21. 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 also mentions a…
  22. It'll be interesting to see if anyone can reproduce their results, thus far its been troublesome: https://github.com/facebookresearch/wav2letter/issues/88
  23. > a huge pain to set up. This project doesn't look like it's particularly easy to build: https://github.com/facebookresearch/wav2letter/blob/master/d...
  24. Link to the GitHub repo, for the lazy: https://github.com/facebookresearch/wav2letter/
  25. ▲ 116
    Wav2letter: Automatic Speech Recognition Toolkit from Facebook AI Research
    story by stablemap · 2017-12-31 · 5 comments