code: def get_segments(
      self,
      label: Optional[torch.Tensor] = None,
      label_lengths: Optional[torch.Tensor] = None,
      midi: Optional[torch.Tensor] = None,
      midi_lengths: Optional[torch.Tensor] = None,
      duration: Optional[torch.Tensor] = None,
      duration_lengths: Optional[torch.Tensor] = None,
  ):
      seq = [0]
      for i in range(label_lengths):
          if label[seq[-1]] != label[i]:
              seq.append(i)
      seq.append(label_lengths.item())
  
      seq.append(0)
      for i in range(midi_lengths):
          if midi[seq[-1]] != midi[i]:
              seq.append(i)
      seq.append(midi_lengths.item())
      seq = list(set(seq))
      seq.sort()
  
      lengths = len(seq) - 1
      seg_label = []
      seg_midi = []
      seg_duration = []
      for i in range(lengths):
          l, r = seq[i], seq[i + 1]
  
          tmp_label = label[l:r][(r - l) // 2]
          tmp_midi = midi[l:r][(r - l) // 2]
          tmp_duration = duration[l:r][(r - l) // 2]
  
          seg_label.append(tmp_label.item())
          seg_midi.append(tmp_midi.item())
          seg_duration.append(tmp_duration.item())
  
      return (
          seg_label,
          lengths,
          seg_midi,
          lengths,
          seg_duration,
          lengths,
      )
  
imports: from typing import Any, Dict, Optional, Tuple, Union
  import torch
  from typeguard import check_argument_types
  from espnet2.tts.feats_extract.abs_feats_extract import AbsFeatsExtract
  from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
label_desc: Use image node_id 5 for calling the SyllableScoreFeats obj's underlying member method code with example usage: obj.get_segments(label, label_lengths, midi, midi_lengths, duration, duration_lengths) and returns: seg_label,  lengths,  seg_midi,  lengths,  seg_duration,  lengths