def METHOD_NAME(self):
    feature_extractor = self.get_feature_extractor()
    tokenizer = self.get_tokenizer()
    processor = Speech2TextProcessor(tokenizer=tokenizer, feature_extractor=feature_extractor)
    raw_speech = floats_list((3, 1000))
    input_feat_extract = feature_extractor(raw_speech, return_tensors="np")
    input_processor = processor(raw_speech, return_tensors="np")
    for key in input_feat_extract.keys():
        self.assertAlmostEqual(input_feat_extract[key].sum(), input_processor[key].sum(), delta=1e-2)