def vad_gmm_list(audio_list, model_list, model_file, feature_type,
n_coeffs_per_frame, acc_frames, results_dir, working_dir, samp_period, win_length):
features_dir = os.path.join(working_dir,feature_type)
acc_features_dir = features_dir+'_frames'
fea_file_list = os.path.join(working_dir,'feature_files.list')
if not os.path.exists(features_dir):
os.makedirs(features_dir)
if not os.path.exists(acc_features_dir):
os.makedirs(acc_features_dir)
vef.fea_extract(audio_list,feature_type,n_coeffs_per_frame,features_dir,samp_period, win_length)
vef.create_corresponding_list_assert(audio_list,features_dir,fea_file_list,'fea')
vef.accumulate_feature_vectors(fea_file_list,acc_frames,acc_features_dir)
vef.create_corresponding_list_assert(audio_list,acc_features_dir,fea_file_list,'fea')
test_gmm_classifier(fea_file_list, model_list, model_file, results_dir)
def estimate_channel_gmm(audio_list, model_list, model_file, feature_type,
n_coeffs_per_frame, acc_frames, results_dir, working_dir):
features_dir = os.path.join(working_dir,feature_type)
acc_features_dir = features_dir+'_frames'
fea_file_list = os.path.join(working_dir,'feature_files.list')
if not os.path.exists(features_dir):
os.makedirs(features_dir)
if not os.path.exists(acc_features_dir):
os.makedirs(acc_features_dir)
vef.fea_extract(audio_list,feature_type,n_coeffs_per_frame,features_dir)
vef.create_corresponding_list_assert(audio_list,features_dir,fea_file_list,'fea')
vef.accumulate_feature_vectors(fea_file_list,acc_frames,acc_features_dir)
vef.create_corresponding_list_assert(audio_list,acc_features_dir,fea_file_list,'fea')
test_gmm_classifier.test_gmm_classifier(test_list=fea_file_list, model_list=model_list,
model_file=model_file, results_dir=results_dir,
mode='single')
def vad_gmm_list(audio_list, model_list, model_file, feature_type,
n_coeffs_per_frame, acc_frames, results_dir, working_dir,
samp_period, win_length):
features_dir = os.path.join(working_dir, feature_type)
acc_features_dir = features_dir + '_frames'
fea_file_list = os.path.join(working_dir, 'feature_files.list')
if not os.path.exists(features_dir):
os.makedirs(features_dir)
if not os.path.exists(acc_features_dir):
os.makedirs(acc_features_dir)
vef.fea_extract(audio_list, feature_type, n_coeffs_per_frame, features_dir,
samp_period, win_length)
vef.create_corresponding_list_assert(audio_list, features_dir,
fea_file_list, 'fea')
vef.accumulate_feature_vectors(fea_file_list, acc_frames, acc_features_dir)
vef.create_corresponding_list_assert(audio_list, acc_features_dir,
fea_file_list, 'fea')
test_gmm_classifier(fea_file_list, model_list, model_file, results_dir)
def estimate_channel_gmm(audio_list, model_list, model_file, feature_type,
n_coeffs_per_frame, acc_frames, results_dir,
working_dir):
features_dir = os.path.join(working_dir, feature_type)
acc_features_dir = features_dir + '_frames'
fea_file_list = os.path.join(working_dir, 'feature_files.list')
if not os.path.exists(features_dir):
os.makedirs(features_dir)
if not os.path.exists(acc_features_dir):
os.makedirs(acc_features_dir)
vef.fea_extract(audio_list, feature_type, n_coeffs_per_frame, features_dir)
vef.create_corresponding_list_assert(audio_list, features_dir,
fea_file_list, 'fea')
vef.accumulate_feature_vectors(fea_file_list, acc_frames, acc_features_dir)
vef.create_corresponding_list_assert(audio_list, acc_features_dir,
fea_file_list, 'fea')
test_gmm_classifier.test_gmm_classifier(test_list=fea_file_list,
model_list=model_list,
model_file=model_file,
results_dir=results_dir,
mode='single')
