def _get_gmm_set(self):
if self.UBM_MODEL_FILE and os.path.isfile(self.UBM_MODEL_FILE):
try:
from gmmset import GMMSetPyGMM
if GMMSet is GMMSetPyGMM:
return GMMSet(ubm=GMM.load(self.UBM_MODEL_FILE))
except Exception as e:
print "Warning: failed to import gmmset. You may forget to compile gmm:"
print e
print "Try running `make -C src/gmm` to compile gmm module."
print "But gmm from sklearn will work as well! Using it now!"
return GMMSet()
return GMMSet()
def train(self):
self.gmmset = GMMSet()
start_time = time.time()
for name, feats in self.features.items():
try:
self.gmmset.fit_new(feats, name)
except Exception as e :
print ("%s failed"%(name))
print (time.time() - start_time, " seconds")
def __init__(self,
ubmfn = None,
reject_threshold = 10):
self.features = []
self.gmmset = GMMSet()
self.classes = []
self.reject_threshold = reject_threshold
if ubmfn is not None:
self.ubm = self.load(ubmfn)
def train(self):
self.gmmset = GMMSet()
start_time1 = time.time()
print("Begin to train")
for name, feats in self.features.items():
try:
start_time2 = time.time()
self.gmmset.fit_new(feats, name)
print(name," trained",time.time() - start_time2, "seconds" )
except Exception as e :
print ("%s failed because of %s"%(name,e))
print ("Train ",time.time() - start_time1, " seconds")
def __init__(self):
self.features = defaultdict(list)
self.gmmset = GMMSet()
self.vad = VAD()
def _get_gmm_set(self):
return GMMSet()
def __init__(self):
self.features = []
self.gmmset = GMMSet()
self.classes = []
self.models = []
def _get_gmm_set(self):
from gmmset import GMMSetPyGMM
if GMMSet is GMMSetPyGMM:
return GMMSet(ubm=GMM.load(self.UBM_MODEL_FILE))
else:
return GMMSet()
