asr + diarization config setting problem
I know the reason, it should be 

>   #diarizer.speaker_embeddings.parameters.window_length_in_sec=[1.5,1.0,0.5] \
    #diarizer.speaker_embeddings.parameters.shift_length_in_sec=[0.75,0.5,0.25] \
    #diarizer.speaker_embeddings.parameters.multiscale_weights=[0.33,0.33,0.33] 
**Describe the bug**

I am following the tutorial of asr+diariation under examples/speaker_tasks/diarization.
I want to use diar_msdd_telephonic model so I have to add more parameters like this:

```
python  clustering_diarizer/offline_diar_with_asr_infer.py \
    diarizer.manifest_filepath='./manifest.json' \
    diarizer.out_dir='demo_asr_output' \
    diarizer.asr.model_path='stt_en_conformer_ctc_large' \
    diarizer.speaker_embeddings.parameters.save_embeddings=False \
    diarizer.asr.parameters.asr_based_vad=True \
    diarizer.speaker_embeddings.model_path='diar_msdd_telephonic' \
    parameters.window_length_in_sec=[1.5,1.0,0.5] \
    parameters.shift_length_in_sec=[0.75,0.5,0.25] \
    parameters.multiscale_weights=[0.33,0.33,0.33] 

```

But this setting will get error message caught, somthing like the follows:

>  raise ConfigCompositionException(
hydra.errors.ConfigCompositionException: Could not override 'parameters.window_length_in_sec'.
To append to your config use +parameters.window_length_in_sec=[1.5,1.0,0.5]

I do not know if I understood it correctly, so I used "+parameters.window_length_in_sec=[1.5,1.0,0.5] \ " instead.
The script can be executed successfully and proper results can be returned. But I am not sure if I have
set the config correctly. I did not find anywhere in the verbose logging message my config had taken effect.
Here  is logging output.

>    speaker_embeddings:
        model_path: diar_msdd_telephonic
        parameters:
          window_length_in_sec:
          - 3.0
          - 2.5
          - 2.0
          - 1.5
          - 1.0
          - 0.5
          shift_length_in_sec:
          - 1.5
          - 1.25
          - 1.0
          - 0.75
          - 0.5
          - 0.25
          multiscale_weights:
          - 1
          - 1
          - 1
          - 1
          - 1
          - 1
          save_embeddings: false


