CMU Sphinx open source toolkit for speech recognition
CMU Sphinx is Carnegie Mellon University’s (CMU) open source toolkit for speech recognition. The project has published this article on Sourceforge describing the automation of language model creation procedures as a complete C++ application. The article is the latest in a series posted on the Sourceforge page describing this ongoing open source academic research program.
For extensive documentation on this complex and fascinating project, visit the CMUSphinx wiki page.
This entry was posted in code, Development, open source and tagged academic research, CMU, speech recognition, Sphinx.
Comments
My [Thai] wife has trouble understanding people with strong accents. Scottish and Indian accents are the worst. I’d like to see how well this stands up to accented users.
In one course, I had an electronics teacher who told us to use the “nouns”. We were all confused, until he told us to use them, to find the “un-nouns”. Then it finally clicked: knowns, unknowns.
> I’d like to see how well this stands up to accented users.
Easy, there is even a small tutorial on adaptation which you can use to raise the accuracy for accented speech:
http://cmusphinx.sourceforge.net/wiki/tutorialadapt