code: def phoneme_decoder_pipeline(hyps, phoneme_encoder):
      """Decodes a sequence of phonemes
  
      Arguments
      ---------
      hyps: list
          hypotheses, the output of a beam search
      phoneme_encoder: speechbrain.datio.encoder.TextEncoder
          a text encoder instance
  
      Returns
      -------
      phonemes: list
          the phoneme sequence
      """
      return phoneme_encoder.decode_ndim(hyps)
  
imports: from functools import reduce
  from speechbrain.wordemb.util import expand_to_chars
  import speechbrain
  import torch
  import re
label_desc: Use image node_id 11 for calling a global function with example usage: phoneme_decoder_pipeline(hyps, phoneme_encoder) and returns: phoneme_encoder