Python script that lets you easily convert passed text to synthesized audio files, with help of Amazon's IVONA. All you need is a pair of keys and this script. Yes, that's literally everything you need to never speak again. If that's your thing of course.
If you want to use IVONA Speech Cloud directly inside your Python project then you should have a look at python-ivona-api, which this script uses in the background.
From PyPI (recommended):
$ pip install ivona_speak
$ git clone https://github.com/Pythonity/ivona-speak $ pip install -r ivona-speak/requirements.txt $ cd ivona-speak/bin
$ ivona-speak --help Easily convert passed text to synthesized audio files, with help of Amazon's IVONA. All you need is a pair of auth keys. See https://github.com/Pythonity/ivona-speak for more info. Options: --help Show this message and exit. Commands: synthesize* Synthesize passed text and save it as an... list-voices List available Ivona voices
You can provide keys either explicitly:
$ ivona-speak --access-key 'YOUR_ACTUAL_ACCESS_KEY' --secret-key 'YOUR_ACTUAL_SECRET_KEY' list-voices
or export them as environment variables:
$ export IVONA_ACCESS_KEY='...' $ export IVONA_SECRET_KEY='...' $ ivona-speak list-voices
The default subcommand is
synthesize, so these do the same:
$ ivona-speak synthesize -o hello_world.mp3 'Hello world!' $ ivona-speak -o hello_world.mp3 'Hello world!'
I want someone to say 'Hello world!', and say it quick:
$ ivona-speak synthesize -o hello_world.mp3 'Hello world!'
She sounds so nice. I want someone special to respond her:
$ ivona-speak synthesize -o response.mp3 -n Joey 'How you doin?'
Package was tested with the help of
tox on Python 2.7, 3.4, 3.5
and 3.6 (see
Code coverage is available at Coveralls.
To run tests yourself you need to set environment variables with secret
and access keys before running
tox inside the repository:
$ pip install tox $ export IVONA_ACCESS_KEY='..' $ export IVONA_SECRET_KEY='..' $ tox
Package source code is available at GitHub.
Feel free to use, ask, fork, star, report bugs, fix them, suggest enhancements, add functionality and point out any mistakes. Thanks!
Written by Paweł Adamczak.
Released under MIT License.