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You can certainly change around those parameters to improve accuracy. To do that, open up the confix.xml file and you’ll see them pretty close to the top. When sphinx is trying to recognize speech, it comes up with a lot of different phoneme strings and then with different word strings. It could literally come up with hundreds of different hypotheses and process all of them to see which one is the best. However, this would be time and memory consuming, so it only chooses a few at a time to work with. That’s what the “beam” is. If you make the beam smaller, it will only hang onto a small amount of the possible strings, whereas if you make it larger, it will hold onto more. You can try making the number a little bit bigger on the beam width. Absolute beam width means no matter what the strings are and what their probabilities might be, it will use a fixed beam width (usually some kind of threshold). Whereas, the relative beam width might change depending on the strings that are guessed. I would start increasing the size (maybe double the size) on the absolute beam width. If that doesn’t increase your accuracy, then I would say that these things won’t help you much. You can always play around with the grammar (that did the best for me every time). Make sure your phoneme mappings to the English phoneme system are as close as you can get. Otherwise, the only thing might be a new acoustic model. I know it’s cumbersome, but if you want accuracy, even if you tune your sphinx engine perfectly, if your data can’t get you the results, then you have to get better data.

I would like to work Sphinx 4.0 to recognise 20 words of my country’s indigenous language.

I manage to make it by adding the word in library (without creating the acoustic model because there’s one sun programmer suggest that if work under 100 words, there’s no need of building own acoustic model)and compile using HelloWorld.java.

The average recognition of words is around 0.7. And he (the sun programmer) suggested me to play around with absoluteBeamWidth, relativeBeamWidth, wordInsertionProbability, languageWeight in HelloWorld.config, in order to improve accuracy, and there’s nothing relevant to the java coding or grammar structure.

My problem now is I fail to find relevant and useful resources about the beamWidth, wordInsertionProbability, languageWeight, what dose all these parameters for, how they affect the accuracy. Can Sir suggest me the useful resources onto these? I’ve look into sphinx and cmu sphinx website and both do not contain and explain much about it.

Really appreciate your great helps!!

Thanks!!!!

Good luck!