code: def speaker_verify(self, wav1, wav2):
      waveform1 = self.load_audio(wav1)
      embedding1 = self(paddle.to_tensor(waveform1)).reshape([-1])
  
      waveform2 = self.load_audio(wav2)
      embedding2 = self(paddle.to_tensor(waveform2)).reshape([-1])
  
      score = self.similarity(embedding1, embedding2).numpy()
      return score, score > self.threshold
  
file_path: PaddleHub/modules/audio/speaker_recognition/ecapa_tdnn_voxceleb/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 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 4 for calling the SpeakerRecognition obj's underlying member method code with example usage: obj.speaker_verify(wav1, wav2) and returns: score,  unknown