Wav2Vec2Processor:
- feature_extractor: Wav2Vec2FeatureExtractor {
  "do_normalize": true,
  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
  "feature_size": 1,
  "padding_side": "right",
  "padding_value": 0.0,
  "return_attention_mask": true,
  "sampling_rate": 16000
}

- tokenizer: Wav2Vec2CTCTokenizer(name_or_path='padmalcom/wav2vec2-large-emotion-detection-german', vocab_size=32, model_max_length=1000000000000000019884624838656, is_fast=False, padding_side='right', truncation_side='right', special_tokens={'bos_token': '<s>', 'eos_token': '</s>', 'unk_token': '<unk>', 'pad_token': '<pad>'}, clean_up_tokenization_spaces=True),  added_tokens_decoder={
	0: AddedToken("<pad>", rstrip=True, lstrip=True, single_word=False, normalized=False, special=False),
	1: AddedToken("<s>", rstrip=True, lstrip=True, single_word=False, normalized=False, special=False),
	2: AddedToken("</s>", rstrip=True, lstrip=True, single_word=False, normalized=False, special=False),
	3: AddedToken("<unk>", rstrip=True, lstrip=True, single_word=False, normalized=False, special=False),
}

{
  "processor_class": "Wav2Vec2Processor"
}