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 generate_rirs(self):
      original_max_order = self.max_order
      self.max_order = 0
  
      self.compute_rir()
  
      self.rir_anechoic = self.rir
  
      self.max_order = original_max_order
  
      self.compute_rir()
  
      self.rir_reverberant = self.rir
  
file_path: speechbrain/recipes/WHAMandWHAMR/separation/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 4 for calling the WhamRoom obj's underlying member method code with example usage: obj.generate_rirs() without return types