text: Title: `remove_columns` method used with a streaming enable dataset mode produces a LibsndfileError on multichannel audio
  Body: ### Describe the bug
  
  When loading a HF dataset in streaming mode and removing some columns, it is impossible to load a sample if the audio contains more than one channel. I have the impression that the time axis and channels are swapped or concatenated.
  
  ### Steps to reproduce the bug
  
  Minimal error code:
  ```python
  from datasets import load_dataset
  
  dataset_name = "zinc75/Vibravox_dummy"
  config_name = "BWE_Larynx_microphone"
  # if we use "ASR_Larynx_microphone" subset which is a monochannel audio, no error is thrown.
  
  dataset = load_dataset(
      path=dataset_name, name=config_name, split="train", streaming=True
  )
  
  
  dataset = dataset.remove_columns(["sensor_id"])
  #  dataset = dataset.map(lambda x:x, remove_columns=["sensor_id"])
  # The commented version does not produce an error, but loses the dataset features.
  sample = next(iter(dataset))
  
  
  ```
  
  
  Error:
  
  ```
  Traceback (most recent call last):
    File "/home/julien/Bureau/github/vibravox/tmp.py", line 15, in <module>
      sample = next(iter(dataset))
               ^^^^^^^^^^^^^^^^^^^
    File "/home/julien/.pyenv/versions/vibravox/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1392, in __iter__
      example = _apply_feature_types_on_example(
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/home/julien/.pyenv/versions/vibravox/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1080, in _apply_feature_types_on_example
      encoded_example = features.encode_example(example)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/home/julien/.pyenv/versions/vibravox/lib/python3.11/site-packages/datasets/features/features.py", line 1889, in encode_example
      return encode_nested_example(self, example)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/home/julien/.pyenv/versions/vibravox/lib/python3.11/site-packages/datasets/features/features.py", line 1244, in encode_nested_example
      {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
    File "/home/julien/.pyenv/versions/vibravox/lib/python3.11/site-packages/datasets/features/features.py", line 1244, in <dictcomp>
      {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/home/julien/.pyenv/versions/vibravox/lib/python3.11/site-packages/datasets/features/features.py", line 1300, in encode_nested_example
      return schema.encode_example(obj) if obj is not None else None
             ^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/home/julien/.pyenv/versions/vibravox/lib/python3.11/site-packages/datasets/features/audio.py", line 98, in encode_example
      sf.write(buffer, value["array"], value["sampling_rate"], format="wav")
    File "/home/julien/.pyenv/versions/vibravox/lib/python3.11/site-packages/soundfile.py", line 343, in write
      with SoundFile(file, 'w', samplerate, channels,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/home/julien/.pyenv/versions/vibravox/lib/python3.11/site-packages/soundfile.py", line 658, in __init__
      self._file = self._open(file, mode_int, closefd)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/home/julien/.pyenv/versions/vibravox/lib/python3.11/site-packages/soundfile.py", line 1216, in _open
      raise LibsndfileError(err, prefix="Error opening {0!r}: ".format(self.name))
  soundfile.LibsndfileError: Error opening <_io.BytesIO object at 0x7fd795d24680>: Format not recognised.
  
  Process finished with exit code 1
  ```
  
  ### Expected behavior
  
  I would expect this code to run without error.
  
  ### Environment info
  
  - `datasets` version: 2.18.0
  - Platform: Linux-6.5.0-21-generic-x86_64-with-glibc2.35
  - Python version: 3.11.0
  - `huggingface_hub` version: 0.21.3
  - PyArrow version: 15.0.0
  - Pandas version: 2.2.1
  - `fsspec` version: 2023.10.0