Overview¶

docs
tests
package

Control your computer by voice!

Features¶

Write your own commands using a simple syntax, or use the existing ones.
Different commands are available for each app, in addition to globally available commands.
When editing a command file, your new commands are immediately available as soon as you save. No need to fiddle with reloading.
If there’s a fatal error in a command file, don’t worry – Voca simply uses a backup from the last time that file worked.
Your commands are executed asynchronously, so you never need to wait for one to finish before executing the next.
Get immediate visual feedback during an utterance – Voca’s eager mode can start acting on your commands as soon as the first word in your utterance. Switch to strict mode and Voca will wait until the end of your utterance.
Voca uses a modern parser, so your grammar can be arbitrarily complex.
Use any speech engine you like – Voca takes its input as newline-separated json on stdin.
Voca generates detailed structured logs you can use for debugging or analyzing your command history.
Voca provides adapters for current Caster and Dragonfly commands, so you can keep using commands you like – just install Voca alongside Caster. More plugins and adapters for other systems can be added.
Voca has a pluggable architecture. Install independent plugins for controlling your apps, without needing to fork the main repository.
Voca uses Python 3.7+, so all the newest Python features are available.
Voca is continuously tested in CI, and maintains test coverage checks.
Free and open source, licensed GPLv3.

Limitations¶

Nobody has used it at all, so I don’t know if it’s useful.
Voca does not provide a speech engine; it requires input from an existing one like Dragon, Kaldi, or DeepSpeech.
Multiple platforms are planned, and the basic outline is there, but tests are not currently passing on OSX or Windows. Linux is working.
The documentation is minimal.

Installation¶

pip install voca

Documentation¶

Prerequisites:

A speech engine, e.g. kaldi/silvius server via included docker script or on its website
Microphone
Python 3

Development¶

git clone this repo and cd inside
To start the kaldi server and workers in docker, plus a client listening to your mic, run ./run-kaldi-server.sh
./pycli init will create a virtualenv and install the package into it
./venv/bin/voca manage to start the manager process which accepts commands on stdin. The manager will start its workers.

To run the all tests run:

tox

Note, to combine the coverage data from all the tox environments run:

Windows	set PYTEST_ADDOPTS=--cov-append tox
Other	PYTEST_ADDOPTS=--cov-append tox