[ASR] Fix for multi-channel signals in AudioSegment
Signed-off-by: Ante Jukić <ajukic@nvidia.com>

# What does this PR do ?

Currently, `AudioSegment` aims to do channel averaging for multi-channel audio signals:
```
if self._samples.ndim >= 2:
  self._samples = np.mean(self._samples, 1)
```
However, samples in its constructor are arranged as `(num_channels, num_samples)`, instead of the assumed `(num_samples, num_channels)`. This means that `samples` of the created `AudioSegment` will have an unexpected size, and also ASR will fail when running `transcribe` on a multi-channel audio signal.

This can be tested by running `test_audiosegment.py` and `test_asr_multi_channel_audio.py` from the attached scripts in [test_audiosegment_with_channel_selector.zip](https://github.com/NVIDIA/NeMo/files/9458412/test_audiosegment_with_channel_selector.zip)

**Collection**: ASR

# Changelog 

### Necessary fix in `AudioSegment`
- correction to dimension ordering for multi-channel audio
- added a new parameter `channel_selector` which can be used to select a single-channel (or a subset of channels) from a multi-channel audio signal
- added unit tests for both channel selector and AudioSegment

Changes above are in `segment.py` and `audio_utils.py` and tests are in `test_preprocessing_segment.py` and `test_audio_utils.py`.

### Nice to have: `channel_selector` for `transcribe`
- Added a `channel_selector` option to `transcribe`, and forwarded it through models, audio-to-text dataset and `WaveformFeaturizer` to `AudioSegment`
- This is a convenience when running an existing model on a multi-channel audio file, we can select either one of the channels or the channel-wise average.

If preferred, this can be removed from the PR.

# Usage
* Check the attached scripts: [test_audiosegment_with_channel_selector.zip](https://github.com/NVIDIA/NeMo/files/9458412/test_audiosegment_with_channel_selector.zip)

## Example: `AudioSegment`
- Check `test_audiosegment.py`
```python
AudioSegment.from_file(audio_file) # loads the complete signal (including all channels)
AudioSegment.from_file(audio_file, channel_selector='average') # loads a single-channel signal (average across channels)
AudioSegment.from_file(audio_file, channel_selector=0) # loads only first channel
```

## Example: `AudioSegment`
- Check `test_asr_with_channel_selector.py`

```python
asr_model.transcribe(mc_files, channel_selector='average') # apply channel averaging when loading audio
```

# Tests

- Existing unit tests + newly-added unit tests
- Compared transcription using single-channel signal matches between `main` and `fix` branch for wav, flac, mp3 input (`test_asr_formats.py`, attached)
- Compared transcription of a channel from a multi-channel signal is matching transcription using a single-channel input signal (`test_asr_with_channel_selector.py`, attached)
- Tutorials `ASR_with_NeMo.ipynb` and `ASR_with_Transducers.ipynb` running fine with the `fix` branch

# Before your PR is "Ready for review"
**Pre checks**:

- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [x] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
- [x] New Feature
- [x] Bugfix
- [ ] Documentation

If you haven't finished some of the above items you can still open "Draft" PR.


## Who can review?

Anyone in the community is free to review the PR once the checks have passed. 
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.

# Additional Information
* n/a
