Update README.md

README.md

@@ -31,15 +31,15 @@ For more information regarding this model, please checkout our paper
 - **Paper [optional]:** [More Information Needed]
 
 # Uses
-We develop fine-tuning recipe using SpeechBrain toolkit available at
+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
 
 
-## Quick Start [optional]
+## Quick Start
 
 <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-If you wish to use fairseq framework, the following code snippet can be used to load our pretrained model. 
+If you wish to use fairseq framework, the following code snippet provides two functions of loading our pretrained model and extracting W2V2 features. 
 
   <pre><code>
   import torch
@@ -136,6 +136,8 @@ We test 4 unlabeled datasets on unsupervised pretrained W2V2-base models:
 We then fine-tune pretrained models on 11.7h of LB labeled home recordings, the f1 scores across three tasks are
 
 ![results](results.png)
+
+Additionally, we improve our model performances through incorporating relevant labeled home recordings and data augmentation techniques of SpecAug and noise/reverberation corruption.
 For more details of experiments and results, please refer to our paper.
 
 # Citation