code: def language_identify(self, wav):
      waveform = self.load_audio(wav)
      logits = self(paddle.to_tensor(waveform)).reshape([-1])
      idx = paddle.argmax(logits)
      return logits[idx].numpy(), self.label_list[idx]
  
file_path: PaddleHub/modules/audio/language_identification/ecapa_tdnn_common_language/module.py
imports: import os
  import re
  from typing import List
  from typing import Union
  import numpy
  import paddle
  import paddleaudio
  from .ecapa_tdnn import Classifier
  from .ecapa_tdnn import ECAPA_TDNN
  from .feature import compute_log_fbank
  from .feature import normalize
  from paddlehub.module.module import moduleinfo
  from paddlehub.utils.log import logger
label_desc: Use image node_id 3 for calling the LanguageIdentification obj's underlying member method code with example usage: obj.language_identify(wav) and returns: logits,  self