Open carlos-bailon opened 1 year ago
What application are you building, what is the goal? You can just add cheek to the list.
Hi, thank you for your response. The set of words I provided is just an example given to understand the issue. In that specific case, I don't include the word "cheek" in the grammar on purpose, because I don't want to recognize it (if I say "cheek" I want the system to return "[unk]" instead of "teeth").
The issue is that it seems to go for the closer option (teeth) instead of returning "[unk]" (which is what I want since the word is out of the provided grammar). And as I say, is just an example, it happens with several other words (when I say one that is out of the grammar, sometimes it returns "[unk]", which is correct, but many other it returns a false positive with other word of the grammar).
Adding similar sounding words to the grammar list helps. For instance, you could add "cheek" and the next time someone says "cheek", there is a high chance that "cheek" gets predicted instead of "teeth".
However, this is not the right way to prevent false positives and I am open as well to hear any other ideas :)
Hi!
I'm using vosk-model-small-en-us-0.15 model and providing grammar in runtime (e.g.
["nose", "teeth", "hair", "[unk]"]
).The issue I'm experiencing is a lot of false positives. When using the model without grammar "restrictions", although confusing some words with very similar pronunciation (e.g. two -> to), it does have a good accuracy. However, once I set the grammar, I experience several false positives (e.g. saying "cheek" returns "teeth").
As far as I have read, the only proposed workaround is to filter the recognized words by the confidence, but many times it returns a false positive with conf=1. I have also tried to modify the
acoustic-scale
andlattice-beam
parameters of the recognizer, but it still fails a lot (although increasing the lattice beam and decreasing a little bit the acoustic scale makes a small improvement).Is there anyone that has also experienced this and found a valid solution? Thanks in advance!!!