mir_convert.py 文件源码

def recognise_mfcc(filePath,outputDir,outputName,debug):

    print("start decompose harmonic/percussive and extract mfcc {0}".format(filePath))
    y,sr = librosa.load(filePath)
    mfcc = librosa.feature.mfcc(y=y,sr=sr)
    mfcc = np.transpose(mfcc)
    basePath = outputDir+outputName;
    np.savetxt(basePath+"_normal_mfcc.csv",mfcc,delimiter=",")
    harmonic_sep = 3.0
    percussive_sep = 3.0
    h,p = librosa.effects.hpss(y,margin=(harmonic_sep,percussive_sep))
    hmfcc = librosa.feature.mfcc(y=h,sr=sr)
    hmfcc = np.transpose(hmfcc)
    np.savetxt(basePath+"_harmonic_mfcc.csv",hmfcc,delimiter=",")
    pmfcc = librosa.feature.mfcc(y=p,sr=sr)
    pmfcc = np.transpose(pmfcc)
    np.savetxt(basePath+"_percussive_mfcc.csv",pmfcc,delimiter=",")

# extract rhythm patter with rp_extract