multimodal/speech_cv collection update (Audio Visual Speech Recognition)

[burchim]

What does this PR do ?

Update the multimodal/speech_cv branch to support audio-visual speech recognition (CTC, RNN-T and Hybrid)

Collection: [multimodal/speech_cv]

Changelog

• Update speech_cv branch
• bug fix
• Add audio-visual datasets
• Add audio-visual models: (AudioVisualEncDecCTCModelBPE, AudioVisualEncDecCTCModel, AudioVisualEncDecHybridRNNTCTCBPEModel, AudioVisualEncDecHybridRNNTCTCModel, AudioVisualEncDecRNNTBPEModel, AudioVisualEncDecRNNTModel)
• Add audio-visual modules (FusionModule, InterCTCMixin)
• Optional ConformerEncoder module 'pre_encode' by setting 'feat_in' to None

Usage

• You can potentially add a usage example below

import nemo.collections.multimodal.speech_cv as nemo_cv
from omegaconf import OmegaConf

config_path = "model_config.yaml"
params = OmegaConf.load(config_path)

# hybrid CTC/RNN-T BPE audio-visual speech recognition model
model = nemo_cv.models.AudioVisualEncDecHybridRNNTCTCBPEModel(cfg=params.model)

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• Bugfix
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