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biometric-resources
lab-speaker-recognition
Commits
29b7b541
Commit
29b7b541
authored
Oct 16, 2018
by
Sushil Bhattacharjee
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notebooks/voxforge_config.py
notebooks/voxforge_config.py
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notebooks/voxforge_config.py
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27fad473
# 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
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