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By: nobody
Hi Serguei,
I read am doing an installation where i need to find out if someone is speaking
a vowel into a microphone and if yes than which one. After trying out sphinx
which is seems to be a slight overkill for my problem i found MARF and it
appears
to be good for my needs.
I read the pdf describing all elements of MARF. And based on your
SpeakerIdent-application i wrote my little program. So far i go everything
running.
the testing part and the recognition part, but the recognition isnt really
reliable.
something between 40 - 50%.
These are my settings:
MARF.setPreprocessingMethod(MARF.DUMMY);
MARF.setFeatureExtractionMethod(MARF.LPC);
MARF.setClassificationMethod(MARF.NEURAL_NETWORK);
MARF.setDumpSpectrogram(false);
MARF.setSampleFormat(MARF.WAV);
Is there any way to get better results?
I also need to find out some characteristics of the voice of the talking person,
like pitch, amplitude etc... i thought that i may can grab some values from
the LPC but i couldnt find out which value is for the pitch period. Or am i
wrong here? Could you explain me in just a couple of words how the vector of
the 20 elements is built up?
Thanks for an answer
Vincent
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