Machine Learning, Formula 1, Neural Networks, Signal Processing, AI.
[]} } test_tracks = ["f_austria", "m_australia"] SAMPLE_RATE = 22050 n_mfcc = 13 n_fft = 2048 hop_length = 512 expected_num_mfcc_vectors = math.ceil(SAMPLE_RATE / hop_length) for i, (dirpath, dirnames, filenames) in enumerate(os.walk(data_path)): # ensure that we are not at the root level if