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View Code? Open in Web Editor NEWScripts for LIUM SpkDiarization tools
License: MIT License
Scripts for LIUM SpkDiarization tools
License: MIT License
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:
pmsseg=./$datadir/$show.pms.seg
java -Xmx$mem -classpath "$LOCALCLASSPATH" fr.lium.spkDiarization.programs.MDecode --help --fInputDesc=$fDescD --fInputMask=$features --sInputMask=./$datadir/%s.i.seg --sOutputMask=$pmsseg --dPenality=10,10,50 --tInputMask=$pmsgmm $show
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:
Hi
This link(http://www-lium.univ-lemans.fr/diarization/lib/exe/fetch.php/data_ilp.tgz) is now invalid? and UBM and models How was them trained?
thanks!
Hello, student here, your script is great! It really helped me better understand speech segmentation.
I'm able to run it till ILP-clustering (last step), when i try to go ahead this is what i get:
11:42.567 TrainIVectorOrTINFO | Compute statistics {make() / 1}
11:42.731 TrainIVectorOrTINFO | Train i-vector {make() / 1}
11:42.732 TotalVariabilitINFO | sent #: 0 {estimateL() / 1}
Exception in thread "main" com.thoughtworks.xstream.converters.ConversionException: -1 : -1
---- Debugging information ----
message : -1
cause-exception : java.lang.ArrayIndexOutOfBoundsException
cause-message : -1
class : fr.lium.spkDiarization.libModel.gaussian.FullGaussian
required-type : fr.lium.spkDiarization.libModel.gaussian.FullGaussian
converter-type : com.thoughtworks.xstream.converters.reflection.ReflectionConverter
path : /fr.lium.spkDiarization.libModel.ivector.EigenFactorRadialList/globalMeanCovariance/gender
class[1] : fr.lium.spkDiarization.libModel.ivector.EigenFactorRadialList
version : 8.4.1 09/12/2013 10:48 AM
i didn't install glpk via apt-get because as of today (UBUNTU 14.04) it is not working. I tried manually with the old fashion way but i don't know if everything went ok.
Any tips?
Thank you
Giuseppe
Hey
Is there any way of limiting the number of final clusters detected to 2? Since I am using LIUM_diarization on a one on one conversation diarization.
Recently, I am doing speaker diarization with LIUM, After I trained Total variability matrix and i-vector, when train EFR normalization, I met some problem about Eigenvalue Decomposition failed, because org.ejml.simple.simpleEVD.(Unknown Source).Do you know what happened about it.
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