HOhomarp·Jan 21, 2019Submission
PyTorch-Kaldi Speech Recognition Toolkit
1 points · Open discussionmravanelli
pytorch-kaldi
Python2018–2019
mravanelli / pytorch-kaldi
pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
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2Mentions
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2.4KGitHub stars
What to know before exploring
What it is
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
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Where it is used
No documented product use has been verified yet.
What people are saying
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.
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Mentions over time
HN mentions by month2 dated mentions
Observed mentions: 2018-03-25 15:28:55 UTC to 2019-01-21 12:32:00 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Mar 2018 | 2018-03-01 00:00:00 UTC | 2018-04-01 00:00:00 UTC | 1 | 0 | 1 |
| Apr 2018 | 2018-04-01 00:00:00 UTC | 2018-05-01 00:00:00 UTC | 0 | 0 | 0 |
| May 2018 | 2018-05-01 00:00:00 UTC | 2018-06-01 00:00:00 UTC | 0 | 0 | 0 |
| Jun 2018 | 2018-06-01 00:00:00 UTC | 2018-07-01 00:00:00 UTC | 0 | 0 | 0 |
| Jul 2018 | 2018-07-01 00:00:00 UTC | 2018-08-01 00:00:00 UTC | 0 | 0 | 0 |
| Aug 2018 | 2018-08-01 00:00:00 UTC | 2018-09-01 00:00:00 UTC | 0 | 0 | 0 |
| Sep 2018 | 2018-09-01 00:00:00 UTC | 2018-10-01 00:00:00 UTC | 0 | 0 | 0 |
| Oct 2018 | 2018-10-01 00:00:00 UTC | 2018-11-01 00:00:00 UTC | 0 | 0 | 0 |
| Nov 2018 | 2018-11-01 00:00:00 UTC | 2018-12-01 00:00:00 UTC | 0 | 0 | 0 |
| Dec 2018 | 2018-12-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 0 | 0 | 0 |
| Jan 2019 | 2019-01-01 00:00:00 UTC | 2019-02-01 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
2 sourcesFor people who want simple, out of the box stuff (not necessarily in Python) for just getting phonemes I can also recommend [0]. Not amazing recognition quality, but dead simple setup, and it is possible to integrate a language model as well (I never needed one for my task). The author showed it as well in [1], but kind of skimmed right by - but to me if you want to know speech recognition in detail, pocketsphinx-python is one of the best ways. Customizing the language model is a huge boost in domain specific recognition.
Large company APIs will usually be better at generic speaker, generic language recognition - but if you can do speaker adaptation and customize the language model, there are some insane gains possible since you prune out a lot of uncertainty and complexity.
If you are more interested in recognition and alignment to a scr
Read the rest
ipt, "gentle" is great [2][3]. The guts also have raw Kaldi recognition, which is pretty good for a generic speech recognizer but you would need to do some coding to pull out that part on its own.
For a decent performing deep model, check into Mozilla's version of Baidu's DeepSpeech [4].
If doing full-on development, my colleague has been using a bridge between PyTorch (for training) and Kaldi (to use their decoders) to good success [5].
[0] how I use pocketsphinx to get phonemes, https://github.com/kastnerkyle/ez-phones
[1] https://github.com/cmusphinx/pocketsphinx-python
[2] https://github.com/lowerquality/gentle
[3] how I use gentle for foreced alignment, https://github.com/kastnerkyle/raw_voice_cleanup/tree/master...
[4] https://github.com/mozilla/DeepSpeech
[5] https://github.com/mravanelli/pytorch-kaldi