The algorithm adopts Mel frequency cepstrum coefficients (MFCC), which has lower space complexity than Bark spectrum, as feature representations for speech samples.

• 该算法采用12阶美尔倒谱参数(MFCC)作为语音信号特征向量，其空间复杂度小于巴克谱。