class_docstr: Constructs a SpeechT5 processor which wraps a feature extractor and a tokenizer into a single processor.
  
  [`SpeechT5Processor`] offers all the functionalities of [`SpeechT5FeatureExtractor`] and [`SpeechT5Tokenizer`]. See
  the docstring of [`~SpeechT5Processor.__call__`] and [`~SpeechT5Processor.decode`] for more information.
  
  Args:
      feature_extractor (`SpeechT5FeatureExtractor`):
          An instance of [`SpeechT5FeatureExtractor`]. The feature extractor is a required input.
      tokenizer (`SpeechT5Tokenizer`):
          An instance of [`SpeechT5Tokenizer`]. The tokenizer is a required input.
code: def __init__(self, feature_extractor, tokenizer):
      super().__init__(feature_extractor, tokenizer)
  
imports: from ...processing_utils import ProcessorMixin
label_desc: Use image node_id 1 to create a new SpeechT5Processor object from inherited base classes: ProcessorMixin with example: obj = SpeechT5Processor(feature_extractor, tokenizer)