[Audio] Allow resampling for audio datasets in streaming mode
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This requires implementing `cast_column` for iterable datasets, it could be a very nice addition !

<s>It can also be useful to be able to disable the audio/image decoding for the dataset viewer (see PR https://github.com/huggingface/datasets/pull/3430) cc @severo </s>
EDIT: actually following https://github.com/huggingface/datasets/issues/3145 the dataset viewer might not need it anymore Just to clarify a bit. This feature is **always** needed when using the common voice dataset in streaming mode. So I think it's quite important
Many audio datasets like Common Voice always need to be resampled. This can very easily be done in non-streaming mode as follows:

```python
from datasets import load_dataset

ds = load_dataset("common_voice", "ab", split="test")

ds = ds.cast_column("audio", Audio(sampling_rate=16_000))
```

However in streaming mode it fails currently:

```python
from datasets import load_dataset

ds = load_dataset("common_voice", "ab", split="test", streaming=True)

ds = ds.cast_column("audio", Audio(sampling_rate=16_000))
```

with the following error:

```
AttributeError: 'IterableDataset' object has no attribute 'cast_column'  
```

It would be great if we could add such a feature (I'm not 100% sure though how complex this would be)
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