Speech enhancement using spectral subtraction algorithm with over-subtraction and reservation factors adapted by harmonic properties

Spectral subtraction algorithms are widely used in speech enhancement. However the quality of enhanced speech is not satisfied. This study proposes using the harmonic properties of vowels to define the values of over-subtraction and spectral reservation factors by using the sigmoid function. Experimental results show that the proposed method can significantly improve the performance of a spectral-subtraction method by more reduction on musical residual noise and more reservation on consonants and weak vowels.