Open aolney opened 9 years ago
Hi, I am very sorry, I am not clear about how to determine those parameters.
Maybe you can contact the LIUM team
Do let me know if you get the answers.
Thanks.
Will do thanks
i wasn't able to find any answer even grubbing among source in the .jar however i have another (quite related) question: let's say that i record 10 seconds, 3 of speech and the rest of light noisy background. pms analysis is telling me that silence occoured in a certain range with label ''iS'' How come in the next step (see below) silence gets clustered as a new and unique speaker? Any tips?
echo filter spk segmentation according pms segmentation
fltseg=$datadir/$show.flt.$h.seg
java -Xmx$mem -classpath "$LOCALCLASSPATH" fr.lium.spkDiarization.tools.SFilter --fInputDesc=$fDescD --fInputMask=$features --fltSegMinLenSpeech=150 --fltSegMinLenSil=25 --sFilterClusterName=j --fltSegPadding=25 --sFilterMask=$pmsseg --sInputMask=$datadir/%s.d.$h.seg --sOutputMask=$fltseg $show
That's not what happens to me, but thanks for pointing out the iS code -- I hadn't noticed that.
For my data, using this github repo, the iS disappears at the flt stage.
Thanks for a great github project. I'm trying to adjust the silence models and haven't been able to come up with much except this:
where
Penality set penalties for the i to j states 10 for the first and second model corresponding to boad/narrowband silence 50 for the other jingle speech (f0 f2 f3 fx), jingle and music
So I have 2 questions: