Chances are you do not work in exactly the same way as I do. I use Vim (find my .vimrc here) as my primary editor, and generally program in either Go or Python. The commands and grammars that are shared in this repository reflect that and are designed to work in my workflow.

That said, the grammars found here should be a good starting point either as examples or templates to help you write your own. It takes a while, but if they are built up over time I have found they can be very powerful.

Want to help make getting started with voice coding easier? Send me a pull request!

I would love to add more languages and more features. There are plenty of commands that are missing, and even more that not work as well as they could. Any help is welcome.

And of course if you have a friend who struggles with RSI or carpal tunnel syndrome please tell them there is a better way.

Here are some tasks or know issues that need to be worked on:

• Add support for javascript language
• Improve editing. Currently creating new code is significantly easier than refactoring old code. This means better support for selecting, copying, and editing words and lines.

Some of the grammars in this repository use a configuration file to increase their flexibility. Rename the grammar_config.json.sample file to grammar_config.json and use the guide below to make the required configuration changes.

window-manager

Choose from "cinnamon" or "i3" to specify what type of window manager to use.

i3-mod-key

If using the i3 window manager, use this option to specify the mod key. Options are "alt", "win", and "ctrl".

company-name

If set, this word will be put in a grammar as-is, allowing Aenea to correctly spell or write your company name.

full-name

If set, adds a command "my full name", which outputs the value specified.

first-name

If set, as a command "my first name", which outputs the value specified.

last-name

If set, adds a command "my last name", which outputs the value specified.

email-address

If set, adds a command "my email", which outputs the value specified.

These instructions will take you from a fresh installation of Windows and Ubuntu to a working voice controlled setup. If you are just looking for the grammars you can skip this section.

These steps are meant to be performed on a Windows machine with an attached microphone. I suggest using a virtual machine as it will allow you to save snapshots as you progress through the steps.

The machine should have about 2GB of ram and two processors.

1. Install Dragon NaturallySpeaking 13.0 to default location
2. Take a snapshot of the VM
3. Download and install Python 2.7.8 for x32
4. Run get-pip.py to install pip
5. Install the latest release of pywin32 for Python 2.7
6. Install the latest release of NatLink
7. Install other dependencies (python -m pip install dragonfly jsonrpclib pyparsing)
8. Take another snapshot of the VM
9. Start a cmd window as administrator
10. Navigate to C:\NatLink\NatLink\confignatlinkvocolaunimacro
11. Run start_natlinkconfigfunctions.py then use the e option to enable
12. If problems are encountered, take a look at this Github issue for help
13. Copy aenea/aenea.json.example to C:\NatLink\NatLink\MacroSystem and edit the ip to the ip of the host
14. Copy the dictation client from the client directory to the NatLink directory
15. Disable the dictation window in Dragon so you can use the dictation client

These instructions were written for an machine running ubuntu 14.04 LTS.

1. Go to the server (linux machine) and navigate in the aenea dir to server/linux_x11
2. Copy config.py.example to config.py and edit, setting the ip to 0.0.0.0
3. Install pip on the host machine (sudo apt-get install python-pip)
4. Install xsel and xdotool (sudo apt-get install xsel xdotool)
5. Use pip to install jsonrpclib, and yapsy (sudo pip install jsonrpclib yapsy)

1. On the server, start aenea/server/linux_x11/server_x11.py
2. On the client, start Dragon Naturally Speaking
3. On the client, start aenea_client.py
4. Give the dictation window focus so it captures anything not covered by a grammar

I previously used the Yeti by Blue and while it worked well in quiet environments, it slowed down greatly as the noise level increased. I am now using (and highly recommend) the Sennheiser MD431-II with the Focusrite Scarlett Solo. It is certainly a price jump, but its performance is outstanding, even when others are talking very near me. Keep the gain low, and speak directly into the microphone.