Please help me solve serious errors/crashes

[asigalov61]

Hey,

I finished my Google Colab with your code/repo but unfortunately, I was not yet able to execute it and see the results due to critical errors/crashes.

https://github.com/asigalov61/Tegridy-MIDI-Dataset/blob/master/Advanced_MIR_Tool.ipynb

Here is the consistent error that I get on any combination of settings:

If you can/know how to fix this issue, I will be very grateful for your help.

Thank you.

`You chose to evaluate voicing training with stft using test data
Here we go!
Splitting Train and Test Sets..........Done
Extracting Training Features..........
---------------------------------------------------------------------------
RemoteTraceback                           Traceback (most recent call last)
RemoteTraceback: 
"""
Traceback (most recent call last):
  File "/usr/lib/python3.6/multiprocessing/pool.py", line 119, in worker
    result = (True, func(*args, **kwds))
  File "/usr/lib/python3.6/multiprocessing/pool.py", line 47, in starmapstar
    return list(itertools.starmap(args[0], args[1]))
  File "<ipython-input-37-01ebe4b81a52>", line 106, in load_and_normalize
    sr=target_sr, mono=True)  # or 'kaiser_best'
  File "/usr/local/lib/python3.6/dist-packages/librosa/core/audio.py", line 119, in load
    with audioread.audio_open(os.path.realpath(path)) as input_file:
  File "/usr/lib/python3.6/posixpath.py", line 394, in realpath
    filename = os.fspath(filename)
TypeError: expected str, bytes or os.PathLike object, not NoneType
"""

The above exception was the direct cause of the following exception:

TypeError                                 Traceback (most recent call last)
<ipython-input-38-5bcf2d2ed0c9> in <module>()
     17 
     18 print('Extracting Training Features..........')
---> 19 all_training_data = normalize_all(n_func, train)
     20 to_remove, train_counts = common_pitches(all_training_data, 50)
     21 print('Extracting Training Features..........Done')

2 frames
<ipython-input-37-01ebe4b81a52> in normalize_all(n_func, train_or_test)
     85 
     86     with Pool(processes=num_processes) as pool:
---> 87         feature_dict = pool.starmap(load_and_normalize, func_with_data)
     88 
     89     return feature_dict

/usr/lib/python3.6/multiprocessing/pool.py in starmap(self, func, iterable, chunksize)
    272         `func` and (a, b) becomes func(a, b).
    273         '''
--> 274         return self._map_async(func, iterable, starmapstar, chunksize).get()
    275 
    276     def starmap_async(self, func, iterable, chunksize=None, callback=None,

/usr/lib/python3.6/multiprocessing/pool.py in get(self, timeout)
    642             return self._value
    643         else:
--> 644             raise self._value
    645 
    646     def _set(self, i, obj):

TypeError: expected str, bytes or os.PathLike object, not NoneType`