wav2vec processor batching logic is too restrictive
### System Info

transformers version at the time of writing is `4.26.1`


### Who can help?

_No response_

### Information

- [ ] The official example scripts
- [ ] My own modified scripts

### Tasks

- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)

### Reproduction

```python
# !pip install transformers torch # in jupyter notebook
from transformers import Wav2Vec2Processor
import torch
import numpy as np

batch = 4

# create Wav2Vec2Processor
processor = Wav2Vec2Processor.from_pretrained("facebook/hubert-large-ls960-ft")
# generate random input tensor
input_tensor = torch.tensor(np.random.randn(batch, 10, 10))
# pass input tensor through processor
output = processor(input_tensor, return_tensors="pt")
print(output["input_values"].shape) # 1 x 4 x 10 x 10
```


### Expected behavior

It seems reasonable that an input could be of shape `batch x d_1 x d_2 ...` and I'd expect the output to have the same shape. However, [here](https://github.com/huggingface/transformers/blob/main/src/transformers/models/wav2vec2/feature_extraction_wav2vec2.py#L184) the code has an extra check for type list or tuple that results in it misinterpreting the input as a single example.

Side note: I'm unsure what to infer from the type checking logic because it doesn't match the type hints i.e. `tuple` isn't supposed to be possible here anyways, according to the `__call__` type hint. I did check some other examples of `is_batched` appearing in the `src/transformers/models` directory and they look similar but unexpected.
cc @sanchit-gandhi @ArthurZucker <|||||>Hey @LWprogramming! Thanks for the comprehensive issue description - I agree that the logic for checking if the input `is_batched` is broken when the input is a batched numpy array, e.g. the feature extractor **should** set `is_batched=True` when the numpy array is 2-d, but currently does not:
https://github.com/huggingface/transformers/blob/57f25f4b7fb85ff069f8701372710b2a3207bf2d/src/transformers/models/wav2vec2/feature_extraction_wav2vec2.py#L184-L187

Would you like to open a PR to fix this? 🤗 We can just do one additional check to set `is_batched = True` if the input is a 2-d numpy array. Note that it should be 2-d with dims [batch, audio_input] and not 3-d since we only expect mono channel input to the feature extractor.<|||||>Hey @LWprogramming! Just checking-in to see whether you'd like to open a PR to fix the issue you uncovered? Think you're in a good position to submit a clean fix! 🤗<|||||>Hi! I'll take care of it, got preoccupied with some irl stuff that came up the past few weeks but things should be settling down soon :)<|||||>That's awesome @LWprogramming! Excited for the PR 🤗 Feel free to tag me as soon as it's ready and I'll get you a review<|||||>marking as still active, just fixing up the PR