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julius-speech
julius
C2017–2021
julius-speech / julius

julius

Open-Source Large Vocabulary Continuous Speech Recognition Engine

3Distinct people
4Mentions
0Explicit recommenders
1.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Open-Source Large Vocabulary Continuous Speech Recognition Engine

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

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.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year4 dated mentions

Observed mentions: 2017-07-01 08:34:21 UTC to 2021-05-22 01:06:50 UTC.

012017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101

What Hacker News says

4 sources
There are a bunch of good libraries that work offline out there for speech recognition -- CMUSphinx[0] has been around a long time and work seems to have shifted a little bit to Kaldi[1] and Vosk[2] (?). Julius is still going strong as well[3]. CMUSphinx and Julius have been around for ~10+ years at this point. [EDIT] - there's even a useful Quora post[4] [0]: https://cmusphinx.github.io/ [1]: https://www.kaldi-asr.org/doc/about.html [2]: https://github.com/alphacep/vosk-server [3]: https://github.com/julius-speech/julius [4]: https://www.quora.com/Are-there-any-open-source-APIs-for-spe...
In Voice2json: Offline speech and intent recognition on Linux
Could you expand on why CMUSphinx[0]/Julius[1] not used? I'm all for using rust for the speed and safety it allows, and then FFI-ing to CMUSphinx (this is exactly what I want to do, given more free time in the future), could you explain why the available open source libraries (CMUsphinx is just one, there's also Julius) couldn't be used? [0] - http://cmusphinx.github.io/ [1] - https://github.com/julius-speech/julius
In Snips Uses Rust to Build an Embedded Voice Assistant
Thank you for the links. It seems like PiAUISuite uses Google's speech to text (look for the curl call [1]), while Jasper allows choosing between different engines [2]. It has install instructions for PocketSphinx [3] and Julius [4]. Those two seem close to what I have been looking for, although Julius apparently lacks a good model for English at the moment. [1] https://github.com/StevenHickson/PiAUISuite/blob/master/Voic... [2] http://jasperproject.github.io/documentation/installation/#i... [3] https://cmusphinx.github.io/ [4] https://github.com/julius-speech/julius Edit: I dug a bit deeper and found this comparison [5] which suggests that Kaldi [6] is the best toolkit to use. [5] http://suendermann.com/su/pdf/oasis2014.pdf [6] http://kaldi-asr.org/
In I ask 100 information questions to four digital assistants

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