def load_x(inputdirpath): filenames = list_dir(inputdirpath, None) filenames.sort(numeric_cmp) return np.vstack([load_mfcc_file(f).data.flatten() for f in filenames])
def load_data(inputdirpath, labels_path): filenames = list_dir(inputdirpath, None) y = readlabels(filenames, labels_path) return np.vstack([load_mfcc_file(f).data.flatten() for f in filenames]), y, filenames
def test_load_save_spro(self): data = load_mfcc_file("../data/small/train/train64.fbank") save_mfcc_file(data, "/tmp/dupa.fbank") data2 = load_mfcc_file("/tmp/dupa.fbank") self.assertSequenceEqual(data.data, data2.data)