Hello!
I use Pocketsphinx in my Android app. I recognize speech using addGrammarSearch (String name, File file). When there is noise around, then Pocketsphinx catches it and recognizes it as a word or phrase from the grammar. But the word was not uttered. Is there any parameter in the hypothesis, which shows how much the recognized sound is like a word from a grammar? What method can I get this parameter?
I want to filter out the recognized sound, which has a low value, that is, it does not look like a word in the grammar.
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Grammar search does not support continuousl listening, you have to use keyword spotting. You can find more details in tutorial http://cmusphinx.github.io/wiki/tutoriallm
If you would like to refer to this comment somewhere else in this project, copy and paste the following link:
Hello!
I use Pocketsphinx in my Android app. I recognize speech using addGrammarSearch (String name, File file). When there is noise around, then Pocketsphinx catches it and recognizes it as a word or phrase from the grammar. But the word was not uttered. Is there any parameter in the hypothesis, which shows how much the recognized sound is like a word from a grammar? What method can I get this parameter?
I want to filter out the recognized sound, which has a low value, that is, it does not look like a word in the grammar.
Grammar search does not support continuousl listening, you have to use keyword spotting. You can find more details in tutorial http://cmusphinx.github.io/wiki/tutoriallm