How to use the essentia.standard.MFCC function in essentia

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github urinieto / SegmenterMIREX2014 / features.py View on Github external
def compute_beatsync_features(ticks, audio):
    """Computes the HPCP and MFCC beat-synchronous features given a set
        of beats (ticks)."""
    MFCC = STFTFeature(FRAME_SIZE, HOP_SIZE, WINDOW_TYPE,
                       ES.MFCC(numberCoefficients=14), ticks, SAMPLE_RATE)
    HPCP = STFTFeature(FRAME_SIZE, HOP_SIZE, WINDOW_TYPE, ES.HPCP(),
                       ticks, SAMPLE_RATE)
    logging.info("Computing Beat-synchronous MFCCs...")
    mfcc = MFCC.compute_features(audio)
    logging.info("Computing Beat-synchronous HPCPs...")
    hpcp = HPCP.compute_features(audio)
    logging.info("Computing Beat-synchronous Tonnetz...")
    tonnetz = utils.chroma_to_tonnetz(hpcp)

    return mfcc.tolist(), hpcp.tolist(), tonnetz.tolist()
github urinieto / msaf / featextract.py View on Github external
def compute_features(audio, beats=None):
    """Computes the HPCP and MFCC beat-synchronous features given a set
        of beats (beats)."""
    beatsync_str = ""
    if beats is not None:
        beatsync_str = "Beat-synchronous "

    MFCC = STFTFeature(msaf.Anal.frame_size, msaf.Anal.hop_size,
                       msaf.Anal.window_type,
                       ES.MFCC(numberCoefficients=msaf.Anal.mfcc_coeff),
                       msaf.Anal.sample_rate, beats)
    HPCP = STFTFeature(msaf.Anal.frame_size, msaf.Anal.hop_size,
                       msaf.Anal.window_type, ES.HPCP(), msaf.Anal.sample_rate,
                       beats)
    logging.info("Computing %sMFCCs..." % beatsync_str)
    mfcc = MFCC.compute_features(audio)
    logging.info("Computing %sHPCPs..." % beatsync_str)
    hpcp = HPCP.compute_features(audio)
    #plt.imshow(hpcp.T, interpolation="nearest", aspect="auto"); plt.show()
    logging.info("Computing %sTonnetz..." % beatsync_str)
    tonnetz = utils.chroma_to_tonnetz(hpcp)
    return mfcc, hpcp, tonnetz