class_docstr: Uses wav2vec2 to perform audio<->text alignment.
code: def __init__(self, device="cuda"):
      self.model = Wav2Vec2ForCTC.from_pretrained(
          "jbetker/wav2vec2-large-robust-ft-libritts-voxpopuli"
      ).cpu()
      self.feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(
          "facebook/wav2vec2-large-960h"
      )
      self.tokenizer = Wav2Vec2CTCTokenizer.from_pretrained(
          "jbetker/tacotron-symbols"
      )
      self.device = device
  
imports: import torch
  import torchaudio
  from transformers import Wav2Vec2CTCTokenizer, Wav2Vec2FeatureExtractor, Wav2Vec2ForCTC
label_desc: Use image node_id 1 to create a new Wav2VecAlignment object  with example: obj = Wav2VecAlignment(device)