def METHOD_NAME(lmspc, fs, n_mels, n_fft, fmin=None, fmax=None):
    """Convert log Mel filterbank to linear spectrogram.
    Args:
        lmspc (ndarray): Log Mel filterbank (T, n_mels).
        fs (int): Sampling frequency.
        n_mels (int): Number of mel basis.
        n_fft (int): Number of FFT points.
        f_min (int, optional): Minimum frequency to analyze.
        f_max (int, optional): Maximum frequency to analyze.
    Returns:
        ndarray: Linear spectrogram (T, n_fft // 2 + 1).
    """
    assert lmspc.shape[1] == n_mels
    fmin = 0 if fmin is None else fmin
    fmax = fs / 2 if fmax is None else fmax
    mspc = np.power(10.0, lmspc)
    mel_basis = librosa.filters.mel(
        sr=fs, n_fft=n_fft, n_mels=n_mels, fmin=fmin, fmax=fmax
    )
    inv_mel_basis = np.linalg.pinv(mel_basis)
    spc = np.maximum(EPS, np.dot(inv_mel_basis, mspc.T).T)
    return spc