Ejemplo n.º 1
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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])
Ejemplo n.º 2
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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
Ejemplo n.º 3
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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])
Ejemplo n.º 4
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 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)
Ejemplo n.º 5
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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