text: import dcase_util
  import numpy
  # Normalization factors
  mel_mean = numpy.array([
      -3.26094211, -4.20447522, -4.57860912, -5.11036974, -5.33019526,
      -5.48390484, -5.50473626, -5.54014946, -5.28249358, -5.12090705,
      -5.21508926, -5.3824216, -5.37758142, -5.38829567, -5.4912112,
      -5.55352419, -5.72801733, -6.02412347, -6.41367833, -6.64073975,
      -6.80493457, -6.8717373, -6.88140949, -6.91464104, -7.00929399,
      -7.13497673, -7.36417664, -7.73457445, -8.25007518, -8.79878143,
      -9.22709866, -9.28843908, -9.57054527, -9.82846299, -9.85425306,
      -9.90253041, -9.85194976, -9.62786338, -9.38480217, -9.18478766
  ])
  mel_std = numpy.array([
      0.3450398, 0.47330394, 0.53112192, 0.57607313, 0.66710664,
      0.70052532, 0.79045046, 0.81864229, 0.79422025, 0.76691708,
      0.64798516, 0.59340713, 0.57756029, 0.64032687, 0.70226395,
      0.75670044, 0.80861907, 0.79305124, 0.7289238, 0.75346821,
      0.77785602, 0.7350573, 0.75137917, 0.77171676, 0.80314121,
      0.78965339, 0.79256442, 0.82524546, 0.84596991, 0.76430333,
      0.69690919, 0.69591269, 0.54718615, 0.5277196, 0.61271734,
      0.54482468, 0.42716334, 0.25561558, 0.08991936, 0.06402002
  ])
  
  mfcc_mean = numpy.array([
      -1.89603847e+02, 4.88930395e+01, -8.37911555e+00,
      2.58522036e+00, 4.51964497e+00, -3.87312873e-01,
      8.97250541e+00, 1.61597737e+00, 1.74111135e+00,
      2.50223131e+00, 3.03385048e+00, 1.34561742e-01,
      1.04119803e+00, -2.57486399e-01, 7.58245525e-01,
      1.11375319e+00, 5.45536494e-01, 7.62699140e-01,
      9.34355519e-01, 1.57158221e-01
  ])
  mfcc_std = numpy.array([
      15.94006483, 2.39593761, 4.78748908, 2.39555341,
      2.66573364, 1.75496556, 2.75005027, 1.5436589,
      1.81070379, 1.39476785, 1.22560606, 1.25575051,
      1.34613239, 1.46778281, 1.19398649, 1.1590474,
      1.1309816, 1.12975486, 0.95503429, 1.01747647
  ])
  
  # Define processing chain
  chain = dcase_util.processors.ProcessingChain([
      {
          'processor_name': 'MonoAudioReadingProcessor',
          'init_parameters': {
              'fs': 44100
          }
      },
      {
          'processor_name': 'RepositoryFeatureExtractorProcessor',
          'init_parameters': {
              'parameters': {
                  'mel': {},
                  'mfcc': {}
              }
          }
      },
      {
          'processor_name': 'RepositoryNormalizationProcessor',
          'init_parameters': {
              'parameters': {
                  'mel': {
                      'mean': mel_mean,
                      'std': mel_std
                  },
                  'mfcc': {
                      'mean': mfcc_mean,
                      'std': mfcc_std
                  }
              }
          }
      },
      {
          'processor_name': 'StackingProcessor',
          'init_parameters': {
              'recipe': 'mel;mfcc=1-19'
          }
      },
      {
          'processor_name': 'AggregationProcessor',
          'init_parameters': {
              'recipe': ['flatten'],
              'win_length_frames': 5,
              'hop_length_frames': 1,
          }
      },
      {
          'processor_name': 'SequencingProcessor',
          'init_parameters': {
              'sequence_length': 50
          }
      },
      {
          'processor_name': 'DataShapingProcessor',
          'init_parameters': {
              'axis_list': ['sequence', 'data', 'time'],
          }
      },
  ])
  data = chain.process(filename=dcase_util.utils.Example().audio_filename())
  data.plot()