Update README.md

README.md

@@ -26,19 +26,19 @@ 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