Comments (3)
Not sure exactly what you want. If you want to recognize that sentence with possible missing words, you can build a grammar as you did in your example and add epsilon-transitions (transition with no word emitted). If you want to detect if words are mispronunced or replaced by ther words, you'd need to train some fillers. You should find more on these on sphinx website, nothing here is specific to pocketsphinx.js. http://cmusphinx.sourceforge.net/
Alternatively, you can look at ispikit, which does pronunciation assessment and flags missing and mispronounced words.
- website: https://ispikit.com
- repos: https://github.com/ispikit
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Thanks.
What am trying to do is check whether a user has spoken all the words in a given sentence, with reasonable "understandability"
Once understood how to build grammars with epsilons, the remaining issue here is the recognition's "confidence threshold" so to say. I have tested CMU Sphinx and it seems to be way more strict, which is exactly what I need. Is this, perhaps, a parameter that needs to be set somewhere for PocketSphinxJS ?
I must be doing something wrong because, as much as I know that filters should be trained etc., I am experiencing that even leaving the microphone pick up random noise, always results in all the words being correctly recognized one after another.
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You need to use keyword spotting mode, that's all.
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