Technical discussions about the implementation and research of speech recognition algorithms.
Hello, I am an undergraduate student looking to do a senior project on speech recognition. The object of my project is to used speech recognition system to control a device. My partner is working on designing this particular device and my part on this project is the speech recognition. So far on my research, I learned that speech recognition is related to dsp. It uses algorithms to recognized/analysis a speech input and produces a desired output that say it recognized this speech pattern. What I need advices on is how to go about doing my part. So far from my research, an algorithm called "Hidden Markov Model" is the most efficient way to analysis a speech input. I'm thinking of getting a dsp board to program this algorithm and produce an output in binary code that would go into a microcontroller board that will control a device. What I don't know is how overwhelming programming this algorithm would be. I have experience with basic computer programming and very little C#. I read a dsp overview book before and my partner do have experience in C++. I do know the block diagram for hidden markov model, but do not fully understand it. My desired output is somehow getting the dsp board to recognized a speech pattern and produce a binary code that represent this pattern so that I can use it to control something. I have 6 months to do this. Is this something doable in 6 months or will programming this algorithms be too much for me and I should focus more on getting some sort of a speech recognition chip and say stick it on a dps board and focus on getting the dsp board to produce the binary code output? Or is there a better way about going at this. If you have any advices, suggestions, or even experience with something like this that can help me out I would really appreciate it.______________________________
Try HTK HMM toolkit or Sphinx speech recognizer.
There are some acoustic models and language model for Sphinx in American En=
glish.
It is not so robust, but works.
Lu=EDs Felipe Uebel=20
To: s...@yahoogroups.com
From: n...@hotmail.com
Date: Sat, 28 Nov 2009 22:52:51 -0500
Subject: [speech-recognition] Need advices on speech recognition project
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Hello, I am an undergraduate student looking to do a senior project o=
n speech recognition. The object of my project is to used speech recognitio=
n system to control a device. My partner is working on designing this parti=
cular device and my part on this project is the speech recognition. So far =
on my research, I learned that speech recognition is related to dsp. It use=
s algorithms to recognized/analysis a speech input and produces a desired o=
utput that say it recognized this speech pattern.
What I need advices on is how to go about doing my part. So far from my res=
earch, an algorithm called "Hidden Markov Model" is the most efficient
way =
to analysis a speech input. I'm thinking of getting a dsp board to program =
this algorithm and produce an output in binary code that would go into a mi=
crocontroller board that will control a device. What I don't know is how ov=
erwhelming programming this algorithm would be. I have experience with basi=
c computer programming and very little C#. I read a dsp overview book befor=
e and my partner do have experience in C++. I do know the block diagram for=
hidden markov model, but do not fully understand it.=20
My desired output is somehow getting the dsp board to recognized a speech p=
attern and produce a binary code that represent this pattern so that I can =
use it to control something. I have 6 months to do this. Is this something =
doable in 6 months or will programming this algorithms be too much for me a=
nd I should focus more on getting some sort of a speech recognition chip an=
d say stick it on a dps board and focus on getting the dsp board to produce=
the binary code output? Or is there a better way about going at this. If y=
ou have any advices, suggestions, or even experience with something like th=
is that can help me out I would really appreciate it.
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