Comments (4)
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.
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Will do thanks
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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
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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.
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Related Issues (5)
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