[akaniklaus]

Thank you very much.

Then, I guess that I will try it with the python wrapper of Pocketsphinx first, to understand which functions are useful because it is not very clear in its codebase as you also said.

I understood how to return the data through OpenEars thanks to your very well commented code, I do not think that it will be problem. Just need to solve C implementation details.

Have a nice day. Sincerely,

[akaniklaus]

Dear Halle,

Sorry, i just had a baby yesterday; so, I did not have time to check it in detail.

I do not think that I will have difficulties on how to use the data once I get it.

pocketsphinxDidReceiveHypothesis callback function of the OpenEarsEventsObserver, seems to deliver only the hypothesis with the highest prior probability (for each utterance)

However, I want to learn all of hypotheses together with their confidence values to reduce the effect of the word recognition error rate in my research.

Is there any function of OpenEars that I can do that? Maybe not all of them, but N-best hypothesis for each recognized word would also be appreciated.

In other words, I need to get the alternatives for each recognized word (similar to a confusion set).

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