import bob.bio.spear
import bob.bio.gmm
temp_directory = './voxforge'
result_directory = './voxforge'
sub_directory = 'test'
database = 'voxforge'
groups = ['dev']
preprocessor = bob.bio.spear.preprocessor.Energy_2Gauss(max_iterations = 10, convergence_threshold = 0.0005, variance_threshold = 0.0005, win_length_ms = 20., win_shift_ms = 10., smoothing_window = 10)
extractor = bob.bio.spear.extractor.Cepstral(win_length_ms = 25, win_shift_ms = 10, n_filters = 24 , dct_norm = False, f_min = 0, f_max = 4000, delta_win = 2, mel_scale = True, with_energy = True, with_delta = True, with_delta_delta = True, n_ceps = 19, pre_emphasis_coef = 0.97)
algorithm = bob.bio.gmm.algorithm.GMMRegular(number_of_gaussians = 8, kmeans_training_iterations = 2, gmm_training_iterations = 2,
training_threshold = 5e-4, variance_threshold = 5e-4, update_weights = True, update_means = True, update_variances = True, relevance_factor = 4, gmm_enroll_iterations = 1, responsibility_threshold = 0, INIT_SEED = 5489)
parallel = 8
verbose = 2