test_frontend.py 文件源码

def test_linguistic_features_for_acoustic_model():
    qs_file_name = join(DATA_DIR, "questions-radio_dnn_416.hed")
    binary_dict, continuous_dict = hts.load_question_set(qs_file_name)

    # Linguistic features
    # To train acoustic model paired with linguistic features,
    # we need frame-level linguistic feature representation.
    input_state_label = join(DATA_DIR, "label_state_align", "arctic_a0001.lab")
    labels = hts.load(input_state_label)
    assert labels.is_state_alignment_label()
    x = fe.linguistic_features(labels,
                               binary_dict,
                               continuous_dict,
                               add_frame_features=True,
                               subphone_features="full"
                               )
    y = np.fromfile(join(DATA_DIR, "binary_label_425",
                         "arctic_a0001.lab"), dtype=np.float32).reshape(-1, x.shape[-1])
    assert np.allclose(x, y)