def validateNN( nnfile ):
try:
res = loadNN( nnfile )
if res is not None:
print "Valid NeuralNet file."
else: print "INVALID NeuralNet file, please regenerate."
except: print "INVALID NeuralNet file, please regenerate."
def testWord( nnfile, word ):
pcas, phones, nn = loadNN( nnfile )
fgen = FeatureGenerator(None)
wordc = [c for c in word.lower()]
vectors = fgen.word_vectors( wordc )
print "For word: %s"%word
# print "Phonemes: %d, %s"%(len(phones),str(phones))
for c, v in vectors:
pp = zip( nn.run(v), phones )
# print sorted(pp,reverse=True)
(_,best_pronunciation) = sorted(pp,reverse=True)[0]
print "char: %s, pronunciation: %s"%(c,best_pronunciation)
