def test_trainer_with_data(self):
#setup_logging(1,None)
corpus = TrainingCorpus()
corpus.fix_resources(dictfile=os.path.join(RESOURCES_PATH, "dict", "fra.dict"), mappingfile=os.path.join(RESOURCES_PATH,"models","models-fra","monophones.repl" ))
corpus.lang = "fra"
corpus.datatrainer.protodir = os.path.join(HERE,"protos")
corpus.add_file( os.path.join(HERE,"F_F_B003-P8-palign.TextGrid"), os.path.join(HERE,"F_F_B003-P8.wav") )
corpus.add_file( os.path.join(HERE,"track_0001-phon.xra"), os.path.join(HERE,"track_0001.wav") )
corpus.add_corpus( os.path.join(SAMPLES_PATH,"samples-fra") )
trainer = HTKModelTrainer( corpus )
acmodel = trainer.training_recipe( delete=True )
def test_trainingcorpus(self):
corpus = TrainingCorpus()
self.assertEqual( corpus.phonemap.map_entry('#'), "#" )
corpus.fix_resources(dictfile=os.path.join(RESOURCES_PATH, "dict", "nan.dict"))
self.assertEqual( corpus.monophones.get_size(), 44 )
corpus.fix_resources(dictfile=os.path.join(RESOURCES_PATH, "dict", "nan.dict"), mappingfile=os.path.join(RESOURCES_PATH,"models","models-nan","monophones.repl" ))
self.assertEqual( corpus.phonemap.map_entry('#'), "sil" )
self.assertFalse( corpus.add_file( "toto", "toto" ) )
self.assertTrue( corpus.add_file( os.path.join(HERE,"F_F_B003-P8-palign.TextGrid"), os.path.join(HERE,"F_F_B003-P8.wav") ) )
corpus.datatrainer.delete()
