add intro

article.md

@@ -26,7 +26,7 @@ epoch	train_loss	valid_loss	accuracy	time
 
 ## State of the Art Approaches 
 
-The state-of-the-art methods for audio classification approach this problem as an image classification task. For such image classification problems from audio samples, [three common] (https://scottmduda.medium.com/urban-environmental-audio-classification-using-mel-spectrograms-706ee6f8dcc1)
+The state-of-the-art methods for audio classification approach this problem as an image classification task. For such image classification problems from audio samples, [three common](https://scottmduda.medium.com/urban-environmental-audio-classification-using-mel-spectrograms-706ee6f8dcc1)
  transformation approaches are:
 
 - Linear Spectrograms