Home
Why Mobile?
Mobile Speech Recognizer
Persuasive Health Information
Mobile Language Learning
Berkeley Institute of Design
|
|
Windows Mobile Speech Recognizer
We have ported CMU's Sphinx-3.5 open-source recognizer for large-vocabulary continuous speech recognition to the Windows Mobile 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 runs in real-time on Windows mobile smartphones.
The recognizer is available for download: Download SphinxTiny
|
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
|