timit_prediction.py 文件源码

def iAugFFT(Xaug,axis=0):
    F=Xaug.shape[axis]/2
    X=np.take(Xaug,np.arange(0,F),axis=axis)+np.complex64(1j)*np.take(Xaug,np.arange(F,2*F),axis=axis)
    X=np.concatenate((X.conj(), np.take(X,np.arange(F-2,0,-1),axis=axis)), axis=axis)
    xr=fft.ifft(X,axis=axis).real
    return xr