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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| seq_id = "gMH_sFM_cAll_d24_mMH5_ch20" | |
| music_file = "data/aistpp_20hz/"+seq_id+".mp3" | |
| ddc_file = "data/aistpp_ddcpca/"+seq_id+".ddcpca.npy" | |
| ddc_features = np.load(ddc_file) | |
| import IPython.display as ipd | |
| ipd.Audio(music_file) # load a local WAV file | |
| import feature_extraction.madmom as madmom | |
| from feature_extraction.madmom.audio.cepstrogram import MFCC | |
| proc_dwn = madmom.features.RNNDownBeatProcessor() | |
| beats = proc_dwn(music_file, fps=20) | |
| %matplotlib inline | |
| plt.matshow(beats[:200].T) | |
| ddc_features.shape | |
| beats.shape | |
| plt.matshow(ddc_features[:200].T) | |
| %matplotlib | |
| plt.plot(ddc_features[:100,0]) | |
| plt.plot(beats[:100,0]) | |
| tgt_fps = 20 | |
| filtbank = madmom.audio.filters.MelFilterbank | |
| spec = madmom.audio.spectrogram.Spectrogram(music_file, fps=tgt_fps, filterbank=filtbank, num_channels = 1) | |
| # mfccs = MFCC(spec, filterbank=filtbank, num_bands=5) | |
| # chroma = madmom.audio.chroma.PitchClassProfile(spec, num_classes=6, num_channels=1) | |
| sectralflux = madmom.features.onsets.spectral_flux(spec) | |
| mfccs.shape | |
| sectralflux.shape | |