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rhasspy
larynx
Python2021–2023
rhasspy / larynx · Archived

larynx

End to end text to speech system using gruut and onnx

AI & Machine Learning
Explore on GitHubRead Hacker News discussions
6Distinct people
13Mentions
0Explicit recommenders
826GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

End to end text to speech system using gruut and onnx

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

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

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 month13 dated mentions

Observed mentions: 2021-08-29 17:05:24 UTC to 2023-04-28 01:50:39 UTC.

01232021-08-01 00:00:00 UTC to 2021-09-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsAug 20212021-09-01 00:00:00 UTC to 2021-10-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-10-01 00:00:00 UTC to 2021-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-11-01 00:00:00 UTC to 2021-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-12-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-01-01 00:00:00 UTC to 2022-02-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-02-01 00:00:00 UTC to 2022-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-03-01 00:00:00 UTC to 2022-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-04-01 00:00:00 UTC to 2022-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-05-01 00:00:00 UTC to 2022-06-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2022-06-01 00:00:00 UTC to 2022-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJun 20222022-07-01 00:00:00 UTC to 2022-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-08-01 00:00:00 UTC to 2022-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-01 00:00:00 UTC to 2022-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-01 00:00:00 UTC to 2022-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-11-01 00:00:00 UTC to 2022-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2023-02-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-02-01 00:00:00 UTC to 2023-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-03-01 00:00:00 UTC to 2023-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-04-01 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsApr 2023

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
Aug 20212021-08-01 00:00:00 UTC2021-09-01 00:00:00 UTC211
Sep 20212021-09-01 00:00:00 UTC2021-10-01 00:00:00 UTC202
Oct 20212021-10-01 00:00:00 UTC2021-11-01 00:00:00 UTC000
Nov 20212021-11-01 00:00:00 UTC2021-12-01 00:00:00 UTC000
Dec 20212021-12-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
Jan 20222022-01-01 00:00:00 UTC2022-02-01 00:00:00 UTC101
Feb 20222022-02-01 00:00:00 UTC2022-03-01 00:00:00 UTC101
Mar 20222022-03-01 00:00:00 UTC2022-04-01 00:00:00 UTC000
Apr 20222022-04-01 00:00:00 UTC2022-05-01 00:00:00 UTC000
May 20222022-05-01 00:00:00 UTC2022-06-01 00:00:00 UTC303
Jun 20222022-06-01 00:00:00 UTC2022-07-01 00:00:00 UTC000
Jul 20222022-07-01 00:00:00 UTC2022-08-01 00:00:00 UTC000
Aug 20222022-08-01 00:00:00 UTC2022-09-01 00:00:00 UTC000
Sep 20222022-09-01 00:00:00 UTC2022-10-01 00:00:00 UTC000
Oct 20222022-10-01 00:00:00 UTC2022-11-01 00:00:00 UTC000
Nov 20222022-11-01 00:00:00 UTC2022-12-01 00:00:00 UTC000
Dec 20222022-12-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
Jan 20232023-01-01 00:00:00 UTC2023-02-01 00:00:00 UTC101
Feb 20232023-02-01 00:00:00 UTC2023-03-01 00:00:00 UTC101
Mar 20232023-03-01 00:00:00 UTC2023-04-01 00:00:00 UTC000
Apr 20232023-04-01 00:00:00 UTC2023-05-01 00:00:00 UTC101

What Hacker News says

13 sources
follower·Apr 28, 2023
The most exciting thing about Home Assistant's "Year of the Voice", for me, is that it is apparently enabling/supporting @synesthesiam's continued phenomenal contributions to the FLOSS off-line voice synthesis space. The quality, variety & diversity of voices that synesthesiam's "Larynx" TTS project (https://github.com/rhasspy/larynx/) made available, completely transformed the Free/Open Source Text To Speech landscape. In addition "OpenTTS" (https://github.com/synesthesiam/opentts) provided a common API for interacting with multiple FLOSS TTS projects which showed great promise for actually enabling "standing on the shoulders of" rather than re-inventing the same basic functionality every time. The new "Piper" TTS project mentioned in the article is the apparent successor to Larynx and, along with the accompanying LibriTTS/LibriVox-based
Read the rest
voice models, brings to FLOSS TTS something it's never had before: * Too many voices! :) Seriously, the current LibriTTS voice model version has 900+ voices (of varying quality levels), how do you even navigate that many?![0] And that's not even considering the even higher quality single speaker models based on other audio recording sources. Offline TTS while immensely valuable for individuals, doesn't seem to be attractive domain for most commercial entities due to lack of lock-in/telemetry opportunities so I was concerned that we might end up missing out on further valuable contributions from synesthesiam's specialised skills & experience due to financial realities & the human need for food. :) I'm glad we instead get to see what happens next. [0] See my follow-up comment about this.
In Year of the Voice – Chapter 2: Let's talk
follower·May 18, 2022
If you've not already encountered them I'd definitely encourage you to check out these Free/Open Source projects too: * Larynx: https://github.com/rhasspy/larynx/ * OpenTTS: https://github.com/synesthesiam/opentts * Likely Mimic3 in the near future: https://mycroft.ai/blog/mimic-3-preview/ Larynx in particular has a focus on "faster than real-time" while OpenTTS is an attempt to package & provide common REST API to all Free/Open Source Text To Speech systems so the FLOSS ecosystem can build on previous work supported by short-lived business interests, rather than start from scratch every time. AIUI the developer of the first two projects now works for Mycroft AI & is involved in the development of Mimic3 which seems very promising given how much of an impact on quality his solo work has had in just the past couple of years or so.
In NaturalSpeech: End-to-end text to speech synthesis with human-level quality
follower·May 18, 2022
I imagine that our concept of what a villain sounds like tends to be extremely personally biased but here's a couple of options [Advisory: Contains threatening language.]: * http://www.sndup.net/p33q * http://www.sndup.net/sppn I created these samples in a relatively short time using the Free/Open Source (which I think is an important factor for indies) text-to-speech project Larynx & an narrative editor I finally released the other weekend: * https://github.com/rhasspy/larynx/ * https://rancidbacon.itch.io/dialogue-tool-for-larynx-text-to... Now, I would really like to link you directly to audio of the next two but considering it's currently in beta behind an (automated response) email address, I think that may not be appropriate, so, instead... * Visit & get access to the beta here: https://mycroft.ai/blog/mimic-3-preview/ * Copy & past
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e this SSML into the form: https://pastebin.com/Bwd7LCbj It's definitely a noticeable step up again in quality. There's an alternate pair of voices if you move the "_" from one "name" attribute to the other in each "voice" element. I intentionally didn't edit the text to remove some of the artifacts both to give a realistic impression of the current state & because sometimes they add interesting texture. :) Note the beta voices are "low" quality.
In NaturalSpeech: End-to-end text to speech synthesis with human-level quality
follower·Jan 19, 2022
Yes! The project is called Larynx, and it is amazing: https://github.com/rhasspy/larynx/ I waxed lyrical about it recently in this thread about private alternatives to Alexa: https://news.ycombinator.com/item?id=29562526 I can only vouch for the quality/variety in English but it does note support for 50 voices over 9 languages, including all the first group of languages you mentioned, and also Russian. (I've "played" with all those languages to test them but can't really vouch for how a native speaker/listener might find it. :D ) It is miles ahead of any of the other Free/Open Source TTS solutions I've tried, including the ones you mentioned. (It's still synthesized speech but the output quality is so good and the project is still extremely early days.) And there's a range of options in accent & gender--which are in general sorely lacking
Read the rest
in other FLOSS TTS options. (In terms of licensing, some voices are licensed more freely than others but the majority are without significant restriction.) I like Larynx so much that I've been working on an editor for it to assist in "auditioning" & recording speech in a narrative context, e.g. game/film pre-viz.
In Nerd-dictation, hackable speech to text on Linux
follower·Dec 15, 2021
It's unfortunate that another comment that links to Rhasspy has been downvoted (I assume because it lacked any other context) so I wanted to mention the project with some additional context: https://rhasspy.readthedocs.io/ While I've not used the entire Rhasspy project myself (but trying it out is on the long list of things to do :) ) I have used the offline Text-To-Speech sub-project Larynx... ...and it is amazing! Larynx is significantly ahead in terms of quality of output & variety of voices (fifty--across multiple languages, accents & genders) of any other FLOSS Text-To-Speech project I've tried. I think the relative new-ness of the project is part of the reason Larynx (https://github.com/rhasspy/larynx/) currently flies under the radar. If the rest of Rhasspy is as good as Larynx I'd imagine it's worth trying out. Larynx demo video:
Read the rest
https://www.youtube.com/watch?v=hBmhDf8cl0k Samples of pre-trained voices: https://rhasspy.github.io/larynx/#en-us
In Ask HN: Private Alternatives to Alexa?

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