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I tried using talonvoice but the recognition engine failed to understad lot of words. I then searched for pronunciation of those words on google and tolonvoice detected them correctly. In the end i learned to pronounce the words in american english so that talonvoice can understand them ;-) .Not what i was hoping for, i wanted to teach computer to recognize my voice not the other way around.

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With an open system/engine, you can train your own personal speech model. For kaldi-active-grammar (https://github.com/daanzu/kaldi-active-grammar), you can do so without all that much difficulty, although the process/documentation could certainly use improvement.

I bootstrapped my personal speech model by retaining the commands from me using WSR. My voice is quite abnormal, and it took only 10 hours of speech data to train a model orders of magnitude more accurate than any generic model I've ever used. And of course, I retain much of my usage now with Kaldi, so my model improves more and more over time. A virtuous flywheel!

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