Jon has a conversation with his computer
Hosted by Jon Kulp on 2014-08-06 is flagged as Clean and is released under a CC-BY-SA license.
Tags: Speech Recognition, Speech Recognition In Linux, bash scripting, GNU/Linux (Operating System), sphinx, pocketsphinx, automation.
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Blather Speech Recognition for Linux: Jon has a conversation with his computer
In this episode I have a blather conversation with my computer. This is a sort of appendix to an episode I released earlier (hpr 1284 http://hackerpublicradio.org/eps.php?id=1284) which was a conversation with Jezra, the lead developer of the blather speech recognition program for Linux. The current episode will make much more sense if you listen to the previous one first.
For the most part I use blather as an accessibility tool, to manipulate my desktop and generally to save myself hundreds of keystrokes a day. This is important because of my repetitive strain injuries. Blather allows me to do many “productivity” tasks using only my voice. I also like to have fun with it, though, and this “conversation” is an example of the sort of goofy stuff I like to do. When the computer hears me say certain predefined phrases, it runs commands. For example when I say “what’s for dinner,” it shuffles the contents of a plaintext file that has about 20 options for dinner, chooses the top option and pipes it through my default text-to-speech program, which is either
festival, depending on what I set as the environment variable in my blather startup script. When it hears me ask for certain other information, such as “what day is it?” and “what’s today’s date?”, it runs the appropriate system command and pipes the output through the text-to-speech program. For information about blather, the various back-end things that make it work, examples of my blather scripts and configuration files, visit the links below.
Comment #1 posted on 2014-08-11T04:24:36Z by klaatu
This is really really cool! I am not really interested in voice-driven computing myself but I have to admit that this is really pretty nice.
On the flip side of all this, I wonder what is involved in creating the voice for the computer. If someone sat down and recorded every word in the dictionary, can those samples be strung together for a more natural-sounding computer voice? or is it more technical and programmatic than that?
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