Update README.md

README.md

@@ -16,8 +16,6 @@ LittleBeats (LB) is a new infant wearable multi-modal device that we developed,
 We use W2V2 to advance LB audio pipeline such that it automatically provides reliable labels of speaker diarization and vocalization classifications for family members, including infants, parents, and siblings, at home. 
 We show that W2V2 pretrained on thousands hours of large-scale unlabeled home audio outperforms oracle W2V2 pretrained on 52k-hours released by Facebook/Meta in terms of automatic family audio analysis tasks.
 
-# Model Details
-
 ## Model Description
 
 <!-- Provide a longer summary of what this model is. -->
@@ -33,7 +31,7 @@ For more information regarding this model, please checkout our paper
 # 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_kic
+- **Repository:** https://github.com/jialuli3/speechbrain/tree/infant-voc-classification/recipes/wav2vec_LittleBeats
 
 
 ## Quick Start
@@ -153,4 +151,6 @@ Ph.D candidate @ Department of Electrical and Computer Engineering, University o
 
 E-mail: jialuli3@illinois.edu
 
-Homepage: https://sites.google.com/view/jialuli/
+Homepage: https://sites.google.com/view/jialuli/
+
+LittleBeats website: https://littlebeats.hdfs.illinois.edu/