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README.md

@@ -86,7 +86,7 @@ python3 km.py   --train_file files/filesTrainWAV.txt   --val_file files/filesVal
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 ## 2. A help to chose the k number for K-Means clustering
-### • Method with taking in considar of the distance of the last fusion
+### • Method with taking in considar of the distance of the last fusion. The files the are placed in the Segmentfeatures folder represent the output of the segmentation of [SD-HuBERT : Sentence-Level Self-Distillation Induces Syllabic Organization in HuBERT](https://github.com/cheoljun95/sdhubert) or [Sylber : Syllabic Embedding Representation of Speech from Raw Audio](https://github.com/Berkeley-Speech-Group/sylber)
 **hierarchiqueSansDerniereDistance.py :** This method uses the average and the complete linkage.
 
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