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dictation-toolbox
aenea
Python2014–2018
dictation-toolbox / aenea

aenea

Client-server library for using voice macros from Dragon NaturallySpeaking and Dragonfly on remote/non-windows hosts.

3Distinct people
3Mentions
1Explicit recommenders
209GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Client-server library for using voice macros from Dragon NaturallySpeaking and Dragonfly on remote/non-windows hosts.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

After hearing this talk, I used this repo as an inspiration to get started on my own setup: https://github.com/dictation-toolbox/aenea Works well for me, but with some friction…

wcbeard10 used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

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 year3 dated mentions

Observed mentions: 2014-12-28 05:45:25 UTC to 2018-01-29 17:54:05 UTC.

012014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20142015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018

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
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC101
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC101
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101

What Hacker News says

3 sources
As far as I'm concerned, there's nothing remotely in Talon's ballpark for voice, and these demos are just a sort of raw baseline. Every part of Talon will see significant improvements as I complete more of the upcoming features. Tech like Siri/Alexa/Google Assistant is too natural language processing focused to be reflective of the performance I've already demonstrated from a precise control scheme. To my knowledge I am the only available high performance eye mousing project to not require a separate head tracker (I only require a $150 Tobii 4C eye tracker, and I do not use their integrated webcam head tracking system as it is not responsive enough). I'm additionally planning to remove the ~$50-150 Dragon requirement for Mac users in the mid future. I'm very committed to keeping the baseline software not just free, but a net negative cost
Read the rest
over using other free solutions. As far as making it commercial, my current plan is to eventually charge a small subscription fee for extremely well integrated video game control systems, and a moderate subscription for professional input schemes like CADD, A/V products, and entire language models built around natural language programming that would ideally enable people who become injured to continue to work without much of any downtime. These are some of the competition: Voice: - http://voicecode.io/ - https://github.com/dictation-toolbox/aenea - https://github.com/synkarius/caster - https://www.voicebot.net/ Eye/Head Tracking: - http://precisiongazemouse.com/ - http://iris.xcessity.at/ - https://github.com/trishume/PolyMouse - https://github.com/trishume/FusionMouse (huge shout out to trishume, who was very helpful and a big inspiration for my tracking system) One of my upcoming goals is to get a hands-free world-record game speedrun into the Awesome Games Done Quick stream.
In How Apple fumbled a five-year lead in voice control
I also have hand problems. I use speech recognition to type everything, including code, and a game controller to move around the mouse. The controller I'm currently using, a PS4 controller, has a trackpad in the middle, so I was able to mash that against my face and give her technique a shot. It works better than you'd think. The PS4 trackpad isn't exactly brilliant, but I can move around the mouse and click on what I want to with some accuracy. Of course, the trackpad on the controller is very small and not very accurate, so it's not really practical for artwork or anything. But, with a better, larger trackpad, I can imagine this technique actually working. I might give it a shot at some point. I am a bit worried about the inevitable neck and nose pain, though. I wish she had gone into a little more detail about how she avoids that. Mayb
Read the rest
e she just has a neck of steel? For the curious, these are some other resources I've found about people working around RSI. Most of these are about using Dragon NaturallySpeaking to code by voice, since that's what I'm most interested in, but I think it's still interesting. There really needs to be a list somewhere for open-source workarounds to disabilities. To the best of my knowledge, there really isn't one. Natlink + Dragon NaturallySpeaking: (NatLink, which lets you make custom speech commands for Dragon in Python, is currently being developed at http://qh.antenna.nl/unimacro/index.html, but that site's pretty incomprehensible. The original author's site is at http://www.synapseadaptive.com/joel/welcomeapage.htm. It's pretty out of date, but explains the fundamentals of the system better, I think.) https://www.youtube.com/watch?v=8SkdfdXWYaI (don't bother looking around, the source code of this was never released) https://github.com/simianhacker/code-by-voice https://github.com/tgrosinger/aenea-grammars Libraries for using Dragon NaturallySpeaking on Linux with VMs: https://github.com/dictation-toolbox/aenea https://github.com/russell/damselfly It seems a post about this kind of thing pops up about every other month or so. I'm thinking of showing off my system here when I polish it up a bit. It's not nearly as complicated as some of these other ones, but I'm beginning to get pretty close to normal typing speed coding by voice.
In Look, no hands

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