parameters: (self, conversion_parameters: typing.Mapping[str, typing.Any])
docstring: Derived classes override to convert the importer node to appropriate ELL node(s)
          and insert into the model
docstring_summary: Derived classes override to convert the importer node to appropriate ELL node(s)
          and insert into the model
docstring_tokens: Derived classes override to convert the importer node to appropriate ELL node ( s ) and insert into the model
function: def convert_node(self, conversion_parameters: typing.Mapping[str, typing.Any]):
          """
          Derived classes override to convert the importer node to appropriate ELL node(s)
          and insert into the model
          """
          model = conversion_parameters["model"]
          builder = conversion_parameters["builder"]
          lookup_table = conversion_parameters["lookup_table"]
  
          sample_rate = self.importer_node.attributes["sampleRate"]
          frame_duration = self.importer_node.attributes["frameDuration"]
          tau_up = self.importer_node.attributes["tauUp"]
          tau_down = self.importer_node.attributes["tauDown"]
          large_input = self.importer_node.attributes["largeInput"]
          gain_att = self.importer_node.attributes["gainAtt"]
          threshold_up = self.importer_node.attributes["thresholdUp"]
          threshold_down = self.importer_node.attributes["thresholdDown"]
          level_threshold = self.importer_node.attributes["levelThreshold"]
  
          input_port_elements = lookup_table.get_port_elements_for_input(self.importer_node)
          # Create the VAD node
          ell_node = builder.AddVoiceActivityDetectorNode(
              model, input_port_elements,
              sample_rate, frame_duration, tau_up, tau_down, large_input, gain_att,
              threshold_up, threshold_down, level_threshold)
  
          # Register the mapping
          lookup_table.add_imported_ell_node(self.importer_node, ell_node)
function_tokens: def convert_node ( self , conversion_parameters : typing . Mapping [ str , typing . Any ] ) : model = conversion_parameters [ "model" ] builder = conversion_parameters [ "builder" ] lookup_table = conversion_parameters [ "lookup_table" ] sample_rate = self . importer_node . attributes [ "sampleRate" ] frame_duration = self . importer_node . attributes [ "frameDuration" ] tau_up = self . importer_node . attributes [ "tauUp" ] tau_down = self . importer_node . attributes [ "tauDown" ] large_input = self . importer_node . attributes [ "largeInput" ] gain_att = self . importer_node . attributes [ "gainAtt" ] threshold_up = self . importer_node . attributes [ "thresholdUp" ] threshold_down = self . importer_node . attributes [ "thresholdDown" ] level_threshold = self . importer_node . attributes [ "levelThreshold" ] input_port_elements = lookup_table . get_port_elements_for_input ( self . importer_node ) # Create the VAD node ell_node = builder . AddVoiceActivityDetectorNode ( model , input_port_elements , sample_rate , frame_duration , tau_up , tau_down , large_input , gain_att , threshold_up , threshold_down , level_threshold ) # Register the mapping lookup_table . add_imported_ell_node ( self . importer_node , ell_node )