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https://sourceforge.net/forum/message.php?msg_id=4844392
By: mokhov

Hi,

> I was wondering if I can use MARF in Telephony
> environment as an application.  

I don't see why not.

> For example consider a person call in and will be redirected
> to IVR system. Then System play an announcement and wait for
> people to say "Call me" or "Leave message".

If you pre-record such utterances in a small dictionary and
train your system on such phrases, it would work. In fact,
that's how we do in one proprietary system, that uses MARF
as an utterance engine for speaker identification as well
as passphrase utterance identification.


> Can I use MARF to have it listen to people in real time

MARF itself, if used as a library, does not do that, i.e.
it doesn't "listen". It would be the application that
listens in its recording threads for the sound to come in,
then run it through MARF for all the needed signal processing
and identification tasks, and MARF would return you an ID
that it believes was uttered. The ID is just an unique integer
corresponding to the individual utterances (e.g. ID 1 is
"Call me", ID 2 is "Leave message", etc.).


> and send me whatever they said in TEXT or record
> their voice and send WAV file to MARF for process
> and recieve back whatever they said in TEXT? 

WAV file is not a problem. True, non-dictionary-base speech-to-text (STT)
MARF doesn't do yet. If you really want true STT processing, you can
try using CMU Sphinx, also hosted on SourceForge.net. For MARF, there
are only plans to have Sphinx' code potentially made as a plug-in for MARF.

I'd say, depending on the size of your dictionary, keep it all in utterances,
because speech to text processing impacts performance and accuracy of the
textual result more than just working directly on the WAV data and keeping it
such, especially for the well defined short list of phrases like "call me"
and the others.

-s


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