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Why Mobile?
Mobile Speech Recognizer
Persuasive Health Information
Mobile Language
Learning
Berkeley Institute of Design
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Mobile Speech Recognizer
We have ported CMU's Sphinx-3.X open-source recognizer for
large-vocabulary continuous speech recognition to both the Windows Mobile and
Linux platform. We are using a fixed-point MFCC front-end, and have
accelerated parts of the Gaussian evaluation in assembly. This significantly
increases the recognizer's performance such that it can run in real-time or
near it on Windows mobile smartphones and Linux mobile devices. To
learn more or to download the system visit the
SphinxTiny project
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Divya Ramachandran
divya At eecs.berkeley.edu
Matthew
Kam
mattkam At eecs.berkeley.edu
John
Canny
jfc At eecs.berkeley.edu
Seth
Horrigan
eomer At cs.berkeley.edu
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