Update sonogram_utility.py

sonogram_utility.py

@@ -129,10 +129,12 @@ def audioNormalize(waveform,sampleRate,stepSizeInSeconds = 2,dbThreshold = -50,d
     currEnd = int(min(currStart + stepSizeInSeconds * sampleRate, len(copyWaveform[0])-1))
     done = False
     while(not done):
+        print(f"{currStart//len(copyWaveform[0]):.2f}% equalized")
         copyWaveform_db = waveform[:,currStart:currEnd].clone().detach()
         copyWaveform_db = transform(copyWaveform_db)
         if currStart == 0:
             print("First DB level calculated")
+            
         
         if torch.max(copyWaveform_db[0]).item() > dbThreshold:
             gain = torch.min(dbTarget - copyWaveform_db[0])