def testMix(self):
acmodel1 = sppasAcModel()
hmm1 = sppasHMM()
hmm1.create_proto(25)
hmm1.set_name("y")
acmodel1.append_hmm(hmm1)
acmodel1.get_repllist().add("y", "j")
acmodel2 = sppasAcModel()
hmm2 = sppasHMM()
hmm2.create_proto(25)
hmm2.set_name("j")
hmm3 = sppasHMM()
hmm3.create_proto(25)
hmm3.name = "y"
acmodel2.get_hmms().append(hmm2)
acmodel2.get_hmms().append(hmm3)
acmodel2.get_repllist().add("y", "y")
acmodel2.get_repllist().add("j", "j")
modelmixer = sppasModelMixer()
modelmixer.set_models(acmodel1, acmodel2)
outputdir = os.path.join(MODELDIR, "models-test")
modelmixer.mix(outputdir, gamma=1.)
self.assertTrue(os.path.exists(outputdir))
model = sppasACMRW(outputdir).read()
shutil.rmtree(outputdir)
def fix_segmenter(self, model, model_L1):
""" Fix the acoustic model directory, then create a SpeechSegmenter and AlignerIO.
:param model: (str) Name of the directory of the acoustic model of the language of the text
:param model_L1: (str) Name of the directory of the acoustic model of the mother language of the speaker
"""
if model_L1 is not None:
try:
model_mixer = sppasModelMixer()
model_mixer.load(model, model_L1)
output_dir = os.path.join(RESOURCES_PATH, "models", "models-mix")
model_mixer.mix(output_dir, gamma=0.6)
model = output_dir
except Exception as e:
self.print_message(MSG_MODEL_L1_FAILED.format(str(e)), indent=3, status=WARNING_ID)
# Map phoneme names from model-specific to SAMPA and vice-versa
mapping_filename = os.path.join(model, "monophones.repl")
if os.path.isfile(mapping_filename):
try:
mapping = sppasMapping(mapping_filename)
except Exception:
mapping = sppasMapping()
else:
mapping = sppasMapping()
# Manager of the interval tracks
self.alignio = AlignIO(mapping, model)
def testMix(self):
acmodel1 = sppasAcModel()
hmm1 = sppasHMM()
hmm1.create_proto(25)
hmm1.name = "y"
acmodel1.append_hmm(hmm1)
acmodel1.repllist.add("y", "j")
acmodel2 = sppasAcModel()
hmm2 = sppasHMM()
hmm2.create_proto(25)
hmm2.name = "j"
hmm3 = sppasHMM()
hmm3.create_proto(25)
hmm3.name = "y"
acmodel2.hmms.append(hmm2)
acmodel2.hmms.append(hmm3)
acmodel2.repllist.add("y", "y")
acmodel2.repllist.add("j", "j")
modelmixer = sppasModelMixer()
modelmixer.set_models(acmodel1, acmodel2)
outputdir = os.path.join(MODELDIR, "models-test")
modelmixer.mix(outputdir, gamma=1.)
mixedh1 = sppasAcModel()
mixedh1.load(outputdir)
shutil.rmtree(outputdir)
def fix_segmenter(self, model, model_L1):
""" Fix the acoustic model directory, then create a SpeechSegmenter and AlignerIO.
:param model: (str) Name of the directory of the acoustic model of the language of the text
:param model_L1: (str) Name of the directory of the acoustic model of the mother language of the speaker
"""
if model_L1 is not None:
try:
model_mixer = sppasModelMixer()
model_mixer.load(model, model_L1)
output_dir = os.path.join(RESOURCES_PATH, "models", "models-mix")
model_mixer.mix(output_dir, gamma=0.6)
model = output_dir
except Exception as e:
self.print_message(MSG_MODEL_L1_FAILED.format(str(e)), indent=3, status=WARNING_ID)
# Map phoneme names from model-specific to SAMPA and vice-versa
mapping_filename = os.path.join(model, "monophones.repl")
if os.path.isfile(mapping_filename):
try:
mapping = sppasMapping(mapping_filename)
except Exception:
mapping = sppasMapping()
else:
mapping = sppasMapping()
# Manager of the interval tracks
self.alignio = AlignIO(mapping, model)
def testMixData(self):
modelmixer = sppasModelMixer()
modelmixer.read(self._model_L2dir, self._model_L1dir)
outputdir = os.path.join(MODELDIR, "models-eng-fra")
modelmixer.mix(outputdir, gamma=0.5)
self.assertTrue(os.path.exists(outputdir))
acmodel1 = sppasACMRW(self._model_L2dir).read()
acmodel1_mono = acmodel1.extract_monophones()
acmodel2 = sppasACMRW(os.path.join(MODELDIR, "models-eng-fra")).read()
shutil.rmtree(outputdir)
def testMixData(self):
modelmixer = sppasModelMixer()
modelmixer.load(self._model_L2dir, self._model_L1dir)
outputdir = os.path.join(MODELDIR, "models-eng-fra")
modelmixer.mix(outputdir, gamma=0.5)
self.assertTrue(os.path.exists(outputdir))
acmodel1 = sppasAcModel()
acmodel1.load_htk(os.path.join(self._model_L2dir, "hmmdefs"))
acmodel1 = acmodel1.extract_monophones()
acmodel2 = sppasAcModel()
acmodel2.load_htk(os.path.join(os.path.join(MODELDIR, "models-eng-fra"), "hmmdefs"))
shutil.rmtree(outputdir)
def load_resources(self, model, model_L1=None, **kwargs):
"""Fix the acoustic model directory.
Create a SpeechSegmenter and AlignerIO.
:param model: (str) Directory of the acoustic model of the language
of the text
:param model_L1: (str) Directory of the acoustic model of
the mother language of the speaker
"""
if model_L1 is not None:
try:
model_mixer = sppasModelMixer()
model_mixer.read(model, model_L1)
output_dir = os.path.join(paths.resources, "models",
"models-mix")
model_mixer.mix(output_dir, gamma=0.6)
model = output_dir
except Exception as e:
self.logfile.print_message(MSG_MODEL_L1_FAILED.format(str(e)),
indent=2,
status=annots.warning)
# Map phoneme names from model-specific to SAMPA and vice-versa
mapping_filename = os.path.join(model, "monophones.repl")
if os.path.isfile(mapping_filename):
try:
mapping = sppasMapping(mapping_filename)
except:
mapping = sppasMapping()
logging.warning('No mapping file was found in model {:s}'
''.format(model))
else:
mapping = sppasMapping()
# Managers of the automatic alignment task
self._tracksrw = TracksReaderWriter(mapping)
self._segmenter.set_model(model)