class_docstr: Speech-to-text alignment model (https://arxiv.org/pdf/2108.10447.pdf) that is used to learn alignments between mel spectrogram and text.
class_docstr_tok: ["Speech-to-text","alignment","model","(","https",":","\/\/arxiv.org\/pdf\/2108.10447.pdf",")","that","is","used","to","learn","alignments","between","mel","spectrogram","and","text","."]
code: def _setup_normalizer(self, cfg):
      if "text_normalizer" in cfg:
          normalizer_kwargs = {}
  
          if "whitelist" in cfg.text_normalizer:
              normalizer_kwargs["whitelist"] = self.register_artifact(
                  "text_normalizer.whitelist",
                  cfg.text_normalizer.whitelist,
              )
  
          try:
              import nemo_text_processing
  
              self.normalizer = instantiate(
                  cfg.text_normalizer, **normalizer_kwargs
              )
          except Exception as e:
              logging.error(e)
              raise ImportError(
                  "`nemo_text_processing` not installed, see https://github.com/NVIDIA/NeMo-text-processing for more details"
              )
  
          self.text_normalizer_call = self.normalizer.normalize
          if "text_normalizer_call_kwargs" in cfg:
              self.text_normalizer_call_kwargs = (
                  cfg.text_normalizer_call_kwargs
              )
  
imports: from typing import List
  import numpy
  import omegaconf
  import torch
  from hydra.utils import instantiate
  from omegaconf import DictConfig
  from pytorch_lightning import Trainer
  from pytorch_lightning.loggers import WandbLogger
  from torch import nn
  from nemo.collections.tts.losses.aligner_loss import BinLoss, ForwardSumLoss
  from nemo.collections.tts.parts.utils.helpers import binarize_attention, g2p_backward_compatible_support, get_mask_from_lengths, plot_alignment_to_numpy
  from nemo.core.classes import ModelPT
  from nemo.core.classes.common import PretrainedModelInfo
  from nemo.utils import logging, model_utils
label_desc: Use image node_id 2 for calling the AlignerModel obj's underlying member method code with example usage: obj._setup_normalizer(cfg) without return types