I've been working with Indigo on Linux Mint 17.1 but am in the process of upgrading to Mint 18(.1) so I've installed kinetic. I've gotten the motion bits working and am working on the Speech Synthesis and Recognition parts next.
PocketSphinx has been a bit more of a hassle. There was a poacketsphinx ROS package for Indigo but not for Kinetic. So I pulled in the Indigo package and using an example from Gstreamer for Gstreamer 1.0 / Pocket Sphinx I was able to get it working, kind of. It is recognizing words / phrases from my dictionary but it is NO where near as accurate as with the older version on Indigo.
Has anyone done anything with PocketSphinx on Kinetic, and if so how did you improve the accuracy? My reworked recognizer.py file works fine, except for the accuracy. The sample code I based it off of uses a different approach from the original recognizer.py code, so that may be the issue.
Or is there a better speech recognition alternative that you are using with Kinetic and newer versions of ROS?
Thanks,
Originally posted by burtbick on ROS Answers with karma: 201 on 2017-06-10
Post score: 0