def classify(word):
if CLASSIFIER is None:
initialize_classifier()
word = sanitize_input(word)
word_features = build_unseen_word_features(word)
word_ints = intify_unseen_word_features(word_features)
word_enc = encode_features(word_ints)
predicted_int = []
for feature in word_enc:
predicted_phone_int = CLASSIFIER.predict(feature)[0]
predicted_int.append(predicted_phone_int)
predicted_phones = [int_to_phone(i) for i in predicted_int]
return predicted_phones
def encode_alignments(alignments):
features, targets = build_features(alignments)
features_int, targets_int = intify_features(features, targets)
features_enc = encode_features(features_int)
return features_enc, targets_int
