class_docstr: This class is taken from the original WHAMR! scripts.
  The original script can be found in
  http://wham.whisper.ai/
  
  This class is used to simulate the room-impulse-responses (RIRs) in the WHAMR dataset.
class_docstr_tok: ["This","class","is","taken","from","the","original","WHAMR","!","scripts",".","The","original","script","can","be","found","in","http",":","\/\/wham.whisper.ai\/","This","class","is","used","to","simulate","the","room-impulse-responses","(","RIRs",")","in","the","WHAMR","dataset","."]
code: def add_audio(self, s1, s2):
      self.sources[0].add_signal(s1)
      self.sources[1].add_signal(s2)
  
file_path: speechbrain/recipes/WHAMandWHAMR/enhancement/wham_room.py
imports: import numpy
  import pyroomacoustics
  from pyroomacoustics.parameters import constants
  from scipy.signal import resample_poly
label_desc: Use image node_id 2 for calling the WhamRoom obj's underlying member method code with example usage: obj.add_audio(s1, s2) without return types