base_cmllr_config = files_dir + '/config.base_cmllr'
regtree_hed = files_dir + '/regtree.hed'
regtree_tree = classes_dir + '/regtree.tree'
global_f = classes_dir + '/global'
current_step += 1
if current_step >= options.step:
data_manipulation.write_regtree_hed_file(regtree_hed, si_model,
num_regtree_nodes_personal,
'regtree')
data_manipulation.write_base_cmllr_config(base_cmllr_config, global_f)
data_manipulation.write_tree_cmlllr_config(tree_cmllr_config,
regtree_tree)
data_manipulation.write_global(global_f)
logger.info("Start step: %d (%s)" %
(current_step, 'Generate regression tree'))
htk.HHEd(current_step, si_model, classes_dir, regtree_hed, phones_list,
'/dev/null')
current_step += 1
if current_step >= options.step:
logger.info("Start step: %d (%s)" %
(current_step, 'Estimate global transforms'))
htk.HERest_estimate_transform(current_step, scp_file, si_model,
xforms_dir, phones_list, adapt_mlf,
max_adap_sentences,
[orig_config, base_cmllr_config],
def make_adaptation(self, id, parent_transform, experiment):
work_dir = experiment.name
classes_dir = work_dir + '/classes'
xforms_dir = work_dir + '/xforms'
files_dir = work_dir + '/files'
log_dir = os.path.join(work_dir, 'log')
target_extension = 'mllr%d' % id
source_extension = None
if parent_transform is not None:
source_extension = parent_transform[0]
scp_file = self.configuration['scp']
if scp_file is None or len(scp_file) == 0:
scp_file = work_dir + '/recog.scp'
adap_scp = work_dir +"/adap%d.scp" %id
data_manipulation.copy_scp_file(scp_file, adap_scp)
# shutil.copyfile(scp_file, adap_scp)
model_hvite = experiment.model.configuration['model_dir'] + '/' + self.configuration['model_hvite']
model_adapt = experiment.model.configuration['model_dir'] + '/' + self.configuration['model_adapt']
phones_list = experiment.model.configuration['model_dir'] + '/files/tiedlist'
dict_hvite = experiment.model.configuration['dict_hvite']
source_mlf = self.configuration['mlf']
source_mlf_ext = self.configuration['mlf_ext']
adapt_mlf = work_dir + '/adap%d.mlf'%id
num_nodes = self.configuration['nodes']
hvite_config = experiment.model.configuration['model_dir'] + '/config/config'
standard_config = experiment.model.configuration['config']
adapt_config = files_dir + '/adapt%d.config' % id
speaker_name_width = self.configuration['speaker_name_width']
num_adaptation_samples = None
if self.configuration['num_adaptation_samples'] >= 0:
num_adaptation_samples = self.configuration['num_adaptation_samples']
# align transcription
htk.HVite(log_dir, adap_scp, model_hvite, dict_hvite, phones_list, source_mlf, adapt_mlf, source_mlf_ext, hvite_config)
if self.configuration['type'] == 'tree':
regtree_hed = files_dir + '/regtree%d.hed'%id
regtree = classes_dir+'/regtree%d.tree'%id
data_manipulation.write_regtree_hed_file(regtree_hed, model_adapt, num_nodes, 'regtree%d'%id)
data_manipulation.write_tree_cmlllr_config(adapt_config, regtree, '"IntVec 3 13 13 13"')
htk.HHEd(log_dir, model_adapt, classes_dir, regtree_hed, phones_list, '/dev/null')
htk.HERest_estimate_transform(log_dir, adap_scp, model_adapt, xforms_dir, phones_list, adapt_mlf,
num_adaptation_samples,
[hvite_config, adapt_config], speaker_name_width, target_extension,
[(xforms_dir, source_extension), (classes_dir, None)], False,
[(xforms_dir, source_extension), (classes_dir, None)])
elif self.configuration['type'] == 'base':
global_f = classes_dir + '/global%d' % id
mask = None
if parent_transform is not None and parent_transform[2] != speaker_name_width:
mask = '%%%'
if parent_transform[2] > 0:
mask = ('%' * parent_transform[2]) + "*.*"
data_manipulation.write_base_cmllr_config(adapt_config, global_f, mask)
data_manipulation.write_global(global_f, 'global%d'%id)
input_transforms = [(classes_dir, None)]
parent_transforms = []
if parent_transform is not None:
input_transforms.append((xforms_dir, source_extension))
parent_transforms.append((xforms_dir, source_extension))
htk.HERest_estimate_transform(log_dir, adap_scp, model_adapt, xforms_dir, phones_list, adapt_mlf,
num_adaptation_samples,
[hvite_config, adapt_config], speaker_name_width, target_extension,
input_transforms, False, parent_transforms)
else:
raise Exception("Unknown adaptation type!")
return (target_extension, adapt_config, speaker_name_width)
if not os.path.exists(files_dir): os.mkdir(files_dir)
tree_cmllr_config = files_dir+'/config.tree_cmllr'
base_cmllr_config = files_dir+'/config.base_cmllr'
regtree_hed = files_dir+'/regtree.hed'
regtree_tree = classes_dir+'/regtree.tree'
global_f = classes_dir + '/global'
current_step += 1
if current_step >= options.step:
data_manipulation.write_regtree_hed_file(regtree_hed,si_model,num_regtree_nodes_personal,'regtree')
data_manipulation.write_base_cmllr_config(base_cmllr_config, global_f)
data_manipulation.write_tree_cmlllr_config(tree_cmllr_config, regtree_tree)
data_manipulation.write_global(global_f)
logger.info("Start step: %d (%s)" % (current_step, 'Generate regression tree'))
htk.HHEd(current_step, si_model, classes_dir, regtree_hed, phones_list, '/dev/null')
current_step += 1
if current_step >= options.step:
logger.info("Start step: %d (%s)" % (current_step, 'Estimate global transforms'))
htk.HERest_estimate_transform(current_step, scp_file, si_model, xforms_dir, phones_list, adapt_mlf, max_adap_sentences, [orig_config, base_cmllr_config], speaker_name_width, 'mllr1', [(classes_dir, None)])
current_step += 1
if current_step >= options.step:
def make_adaptation(self, id, parent_transform, experiment):
work_dir = experiment.name
classes_dir = work_dir + '/classes'
xforms_dir = work_dir + '/xforms'
files_dir = work_dir + '/files'
log_dir = os.path.join(work_dir, 'log')
target_extension = 'mllr%d' % id
source_extension = None
if parent_transform is not None:
source_extension = parent_transform[0]
scp_file = self.configuration['scp']
if scp_file is None or len(scp_file) == 0:
scp_file = work_dir + '/recog.scp'
adap_scp = work_dir + "/adap%d.scp" % id
data_manipulation.copy_scp_file(scp_file, adap_scp)
# shutil.copyfile(scp_file, adap_scp)
model_hvite = experiment.model.configuration[
'model_dir'] + '/' + self.configuration['model_hvite']
model_adapt = experiment.model.configuration[
'model_dir'] + '/' + self.configuration['model_adapt']
phones_list = experiment.model.configuration[
'model_dir'] + '/files/tiedlist'
dict_hvite = experiment.model.configuration['dict_hvite']
source_mlf = self.configuration['mlf']
source_mlf_ext = self.configuration['mlf_ext']
adapt_mlf = work_dir + '/adap%d.mlf' % id
num_nodes = self.configuration['nodes']
hvite_config = experiment.model.configuration[
'model_dir'] + '/config/config'
standard_config = experiment.model.configuration['config']
adapt_config = files_dir + '/adapt%d.config' % id
speaker_name_width = self.configuration['speaker_name_width']
num_adaptation_samples = None
if self.configuration['num_adaptation_samples'] >= 0:
num_adaptation_samples = self.configuration[
'num_adaptation_samples']
# align transcription
htk.HVite(log_dir, adap_scp, model_hvite, dict_hvite, phones_list,
source_mlf, adapt_mlf, source_mlf_ext, hvite_config)
if self.configuration['type'] == 'tree':
regtree_hed = files_dir + '/regtree%d.hed' % id
regtree = classes_dir + '/regtree%d.tree' % id
data_manipulation.write_regtree_hed_file(regtree_hed, model_adapt,
num_nodes,
'regtree%d' % id)
data_manipulation.write_tree_cmlllr_config(adapt_config, regtree,
'"IntVec 3 13 13 13"')
htk.HHEd(log_dir, model_adapt, classes_dir, regtree_hed,
phones_list, '/dev/null')
htk.HERest_estimate_transform(log_dir, adap_scp, model_adapt,
xforms_dir, phones_list, adapt_mlf,
num_adaptation_samples,
[hvite_config, adapt_config],
speaker_name_width, target_extension,
[(xforms_dir, source_extension),
(classes_dir, None)], False,
[(xforms_dir, source_extension),
(classes_dir, None)])
elif self.configuration['type'] == 'base':
global_f = classes_dir + '/global%d' % id
mask = None
if parent_transform is not None and parent_transform[
2] != speaker_name_width:
mask = '%%%'
if parent_transform[2] > 0:
mask = ('%' * parent_transform[2]) + "*.*"
data_manipulation.write_base_cmllr_config(adapt_config, global_f,
mask)
data_manipulation.write_global(global_f, 'global%d' % id)
input_transforms = [(classes_dir, None)]
parent_transforms = []
if parent_transform is not None:
input_transforms.append((xforms_dir, source_extension))
parent_transforms.append((xforms_dir, source_extension))
htk.HERest_estimate_transform(
log_dir, adap_scp, model_adapt, xforms_dir, phones_list,
adapt_mlf, num_adaptation_samples,
[hvite_config, adapt_config], speaker_name_width,
target_extension, input_transforms, False, parent_transforms)
else:
raise Exception("Unknown adaptation type!")
return (target_extension, adapt_config, speaker_name_width)
