Update README.md

README.md

@@ -18,6 +18,11 @@ We show that W2V2 pretrained on thousands hours of large-scale unlabeled home au
 
 For more details about LittleBeats, check out **https://littlebeats.hdfs.illinois.edu/**
 
+## Model Sources
+For more information regarding this model, please checkout our paper
+- **Paper [optional]:** [More Information Needed]
+
+  
 ## Model Description
 
 <!-- Provide a longer summary of what this model is. -->
@@ -30,15 +35,10 @@ Two pretrained ECAPA-TDNN speaker embeddings are available:
 - **ECAPA_TDNN_LB/embedding_model.ckpt** pretrained using 12-hour of labeled LB home recordings collected from 22 families of infants under 14-month-old
 - **ECAPA_TDNN_LB_LENA/embedding_model.ckpt** pretrained using 12-hour of labeled LB home recordings collected from 22 families + 18-hour of labeled LENA home recordings from 30 families of infants under 14-month-old
 
-
-## Model Sources
-For more information regarding this model, please checkout our paper
-- **Paper [optional]:** [More Information Needed]
-
-# Uses
+## Uses
 We develop our complete fine-tuning recipe using SpeechBrain toolkit available at
 
-- **Repository:** https://github.com/jialuli3/speechbrain/tree/infant-voc-classification/recipes/wav2vec_LittleBeats
+- **https://github.com/jialuli3/speechbrain/tree/infant-voc-classification/recipes/wav2vec_LittleBeats**
 
 
 ## Quick Start