This paper proposes an algorithm that adopts the harmonic regeneration as post-processing to improve the performance of speech enhancement using traditional Short Time Spectral Amplitude(STSA).The proposed algorithm aims to alleviate the distortion of the high harmonics of enhanced speech via the traditional STSA,and consequently improves the speech quality.We first detect the pitch,or fundamental frequency,of the enhanced speech via the traditional STSA,and then,divide the whole spectrum into multiple sub-bands which center on each harmonic.After that,a series of specially designed windows centered on each harmonic are applied to all the sub-bands,in order to redistribute the energy in the sub-bands.The results of experiment demonstrate that the method has both theo-retical and practical basis. This paper proposes an algorithm that adopts the harmonic regeneration as post-processing to improve the performance of speech enhancement using traditional Short Time Spectral Amplitude (STSA) .proposed algorithm aims to alleviate the distortion of the high harmonics of enhanced speech via the traditional STSA , and ending improves the speech quality. We first detect the pitch, or fundamental frequency, of the enhanced speech via the traditional STSA, and then, divide the whole spectrum into multiple sub-bands which center on each harmonic. After that, a series of specially designed windows centered on each harmonic are applied to all the sub-bands, in order to redistribute the energy in the sub-bands.The results of experiment demonstrate that the method has both theo-retical and practical basis.