Training the model with no shift loss doesn't improve

[shilsircar]

@breizhn Hi Nils,
I have pulled your prepared sample set for training with just modifying the blk_shift to be 512 i.e no shift. I notice no significant improvement after 40+ epoch. Is this expected? What loss and val loss did you get in your training?

Epoch 00055: val_loss improved from -13.22399 to -13.22746, saving model to ./models_DTLN_model_512_norm/DTLN_model_512_norm.h5
3000/3000 [==============================] - 8885s 3s/step - loss: -13.2950 - val_loss: -13.2275
Epoch 56/200
3000/3000 [==============================] - ETA: 0s - loss: -13.2961
Epoch 00056: val_loss did not improve from -13.22746
3000/3000 [==============================] - 8886s 3s/step - loss: -13.2961 - val_loss: -13.2204
Epoch 57/200
3000/3000 [==============================] - ETA: 0s - loss: -13.2977
Epoch 00057: val_loss did not improve from -13.22746
3000/3000 [==============================] - 8894s 3s/step - loss: -13.2977 - val_loss: -13.2184
Epoch 58/200
3000/3000 [==============================] - ETA: 0s - loss: -13.2971
Epoch 00058: val_loss improved from -13.22746 to -13.23236, saving model to ./models_DTLN_model_512_norm/DTLN_model_512_norm.h5
3000/3000 [==============================] - 8888s 3s/step - loss: -13.2971 - val_loss: -13.2324
Epoch 59/200
3000/3000 [==============================] - ETA: 0s - loss: -13.2989
Epoch 00059: val_loss did not improve from -13.23236
3000/3000 [==============================] - 8890s 3s/step - loss: -13.2989 - val_loss: -13.2236
Epoch 60/200
3000/3000 [==============================] - ETA: 0s - loss: -13.2993
Epoch 00060: val_loss did not improve from -13.23236
3000/3000 [==============================] - 8889s 3s/step - loss: -13.2993 - val_loss: -13.2229
Epoch 61/200
2698/3000 [=========================>....] - ETA: 13:08 - loss: -13.3098

[shilsircar]

With no shift the model performs reasonably well from noise suppression perspective but there is a periodic crackle that I observe in the sound. Thoughts on what might cause that is it because of no overlap it's not smoothing the audio ? @breizhn

[breizhn]

That is probably the case, I never evaluated a model without overlap.