Update README.md

README.md

@@ -26,17 +26,22 @@ It achieves the following results on the evaluation set:
 
 Training and evaluation data were augmented with audiomentations [GitHub: iver56/audiomentations](https://github.com/iver56/audiomentations) library and the following augmentation methods have been performed based on previous experiments [Elliott et al.: Tiny transformers for audio classification at the edge](https://arxiv.org/pdf/2103.12157.pdf):
 
-Gain
+#Gain
 - each audio sample is amplified/attenuated by a random factor between 0.5 and 1.5 with a 0.3 probability
-Noise
+
+#Noise
 - a random amount of Gaussian noise with a relative amplitude between 0.001 and 0.015 is added to each audio sample with a 0.5 probability
-Speed adjust
+
+#Speed adjust
 - duration of each audio sample is extended by a random amount between 0.5 and 1.5 with a 0.3 probability
-Pitch shift
+
+#Pitch shift
 - pitch of each audio sample is shifted by a random amount of semitones selected from the closed interval [-4,4] with a 0.3 probability
-Time masking
+
+#Time masking
 - a random fraction of lenght of each audio sample in the range of (0,0.02] is erased with a 0.3 probability
 
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: