Shawn Rutledge wrote:
On Wed, Mar 26, 2008 at 3:18 PM, saurabh gupta
<[EMAIL PROTECTED]> wrote:
1)Speech Recognition Method:
i have already developed a speech recognition method on 8-bit
microcontroller. i used the digital filters(chebyshev II) and correlation
method to match the spoken word with that already stored in memory. i am
further planning to improve it using Hidden markov model(HMM) through Linear
Predictive Coding (LPC) and fast fourier transform (FFT). A success rate of
90% can be achieved using this method.
I'm impressed you managed to do that on an 8-bit microcontroller!
Free software for speech recognition has been slow to develop in the
past. Now there are a couple:
http://freshmeat.net/search/?q=speech+recognition§ion=projects&Go.x=0&Go.y=0
E.g. there is Sphinx and Julius, and there is also an HMM toolkit
which might be useful (or not).
Do you expect to achieve better performance than those?
I'm assuming you used dynamic time warping with your correlation
method. I can see not too much processing power being needed for
correlation with a limited vocabulary.
I would be excited to see existing free voice software fully integrated
into Openmoko with a custom language model for command & control.
PocketSphinx (http://www.speech.cs.cmu.edu/pocketsphinx/) may be a good
starting point, since it's supposed to be optimized for embedded ARM
applications.
