def METHOD_NAME(self, data: Dict[str, Any]) -> Dict[str, Any]:
    speed = 1.0
    audio_bytes = self.get_audio_bytes(data[self.column_map['wav']])
    wav, sr = librosa.load(audio_bytes, 16000, mono=True)
    fbank = self.prepare_fbank(
        torch.tensor([wav], dtype=torch.float32),
        sr,
        speed,
        target_sample_rate=16000,
        is_train=False)
    fbank_mask = torch.tensor([True])
    sample = {'fbank': fbank, 'fbank_mask': fbank_mask}
    if 'text' in self.column_map and self.column_map['text'] in data:
        sample['label'] = data[self.column_map['text']]
    # mock
    sample['phone_item'] = torch.tensor([6, 6, 6])
    sample['phone_mask'] = torch.tensor([False])
    return sample