So, i was able to adapt an acoustic model for my voice and created a grammar
with the sentences I needed to recognize.
With pocketsphinx_batch, i could get almost 100% accuracy... seemed really
good..
Next step, started using pocketsphinx_continuous to try say a few sentences
and see how it behaves..
Everything I said ( that I EXPECTED to be recognized ) succeeded in being
recognized.. the problem was when it started recognizing sentences, when i
said random things, when people around me spoke, when they made some noise..
when i cough...
Did some searches here, and it seems this is a problem with out of vocabulary
recognition...
I am a bit stuck here now.. how could I go from here?
I have my AM ready, a grammar.. i have to have a way of rejecting the sounds
that are completely random...
Maybe a way is recording again wav files for training AM with noise on the
background?
Thank you
If you would like to refer to this comment somewhere else in this project, copy and paste the following link:
well, the case is that i want to build my own model to be used with
pocketsphinx. the hmm and dictionary file as well.i can't use the pre-built
model coz they r too large for mobile applications, so i need to to build a
few words model and dictionary. that's the case.
If you would like to refer to this comment somewhere else in this project, copy and paste the following link:
well, the case is that i want to build my own model to be used with
pocketsphinx. the hmm and dictionary file as well.i can't use the pre-built
model coz they r too large for mobile applications, so i need to to build a
few words model and dictionary. that's the case.
Model.. are you talking about acoustic model? If so.. the tutorial ( http://c
musphinx.sourceforge.net/wiki/tutorialadapt ) helped me adapting the example own acoustic model to fit
my voice, and make it suitable for mobile application .
Hi..
So, i was able to adapt an acoustic model for my voice and created a grammar
with the sentences I needed to recognize.
With pocketsphinx_batch, i could get almost 100% accuracy... seemed really
good..
Next step, started using pocketsphinx_continuous to try say a few sentences
and see how it behaves..
Everything I said ( that I EXPECTED to be recognized ) succeeded in being
recognized.. the problem was when it started recognizing sentences, when i
said random things, when people around me spoke, when they made some noise..
when i cough...
Did some searches here, and it seems this is a problem with out of vocabulary
recognition...
I am a bit stuck here now.. how could I go from here?
I have my AM ready, a grammar.. i have to have a way of rejecting the sounds
that are completely random...
Maybe a way is recording again wav files for training AM with noise on the
background?
Thank you
can you tell me how did u build your grammar coz i'm facing the same problem
here
Hi..
For pocketsphinx i couldn't do it..
For sphinx4 I could come up with a solution to the out of vocabulary
recognition issue ...
What were you interested in?
well, the case is that i want to build my own model to be used with
pocketsphinx. the hmm and dictionary file as well.i can't use the pre-built
model coz they r too large for mobile applications, so i need to to build a
few words model and dictionary. that's the case.
i have same problem Did you solve this problem cornelyus?
Model.. are you talking about acoustic model? If so.. the tutorial ( http://c
musphinx.sourceforge.net/wiki/tutorialadapt ) helped me adapting the example own acoustic model to fit
my voice, and make it suitable for mobile application .
As for the dictionary, you can also build your own.. http://cmusphinx.sourcef
orge.net/wiki/tutoriallm?s=dictionary
you refering to "out of vocabulary" on pocketsphinx? If that's the case then
no..