code: def find_endpoint(self, wav, threshold_db=-40, min_silence_sec=0.8):
      window_length = int(self.sample_rate * min_silence_sec)
      hop_length = int(window_length / 4)
      threshold = self._db_to_amp(threshold_db)
      for x in range(hop_length, len(wav) - window_length, hop_length):
          if np.max(wav[x : x + window_length]) < threshold:
              return x + hop_length
      return len(wav)
  
imports: import librosa
  import soundfile
  import numpy
  import scipy.io.wavfile
  import scipy.signal
  from TTS.tts.utils.data import StandardScaler
label_desc: Use image node_id 23 for calling the AudioProcessor obj's underlying member method code with example usage: obj.find_endpoint(wav, threshold_db, min_silence_sec) and returns: len, unknown