diff --git a/notebooks/voxforge_config.py b/notebooks/voxforge_config.py
deleted file mode 100644
index 31deb480a2c62e7a213f152d93f96ced135fcce5..0000000000000000000000000000000000000000
--- a/notebooks/voxforge_config.py
+++ /dev/null
@@ -1,87 +0,0 @@
-# Config script for running experiments on Voxforge
-
-from bob.db.voxforge import Database
-import bob.bio.spear
-import bob.bio.gmm
-
-
-groups = ['train']
-#groups = ['train', 'dev', 'eval']
-
-allow_missing_files = False
-skip_kmeans = False
-skip_gmm = False
-skip_extractor_training = True
-skip_projector_training = False
-skip_enroller_training = False
-
-voxforge_wav_directory = "[YOUR_VOXFORGE_DIRECTORY]"
-
-database = Database(
-    original_directory=voxforge_wav_directory,
-    original_extension=".wav",
-)
-
-database_directories_file = "path_to_voxforge.txt"
-
-preprocessor = bob.bio.spear.preprocessor.Energy_2Gauss()
-
-extractor = bob.bio.spear.extractor.Cepstral(
-      win_length_ms = 20,
-      win_shift_ms = 10,
-      n_filters = 24,
-      dct_norm = False,
-      f_min = 0.0,
-      f_max = 8000,
-      delta_win = 2,
-      mel_scale = True,
-      with_energy = True,
-      with_delta = False,
-      with_delta_delta = False,
-      n_ceps = 19, # 0-->18
-      pre_emphasis_coef = 0.95,
-      features_mask = numpy.arange(0,20),
-      # Normalization
-      normalize_flag = True,
-)
-
-algorithm = bob.bio.gmm.algorithm.GMM(
-    number_of_gaussians = 64,
-    kmeans_training_iterations = 5,
-    gmm_training_iterations = 5,
-    training_threshold = 0.0, # This ensure the use of maximum number of iterations as stopping criterion
-)
-
-verbose = 3
-
-grid = bob.bio.base.grid.Grid(
-  number_of_preprocessing_jobs=24,
-  number_of_extraction_jobs=24,
-  number_of_projection_jobs=24,
-  number_of_enrollment_jobs=24,
-  number_of_scoring_jobs=1,
-  training_queue = '16G',
-  # preprocessing
-  preprocessing_queue = '4G-io-big',
-  # feature extraction
-  extraction_queue = '4G-io-big',
-  # feature projection
-  projection_queue = '4G-io-big',
-  # model enrollment
-  enrollment_queue = '4G-io-big',
-  # scoring
-  scoring_queue = '4G-io-big'
-)
-
-#grid = None
-
-# a grid for testing on a local machine
-#grid = bob.bio.base.grid.Grid(
-#  grid_type='local',
-#  number_of_parallel_processes=1
-#)
-#run_local_scheduler = True
-#nice = 10
-
-
-