Multiband Spectral Subtraction Speech Enhancement Algorithm with Phase Spectrum Compensation
Zhibo Chen, Yuanze Liu, Guodong Wang, Siyu Wang, Weidong Geng · 2019
Traditional speech enhancement algorithms have been widely studied due to simplicity and convenience, especially spectral subtraction algorithm. However, traditional speech enhancement algorithms always utilize the available noisy speech phase spectrum as the optimal estimation of clean speech phase spectrum, which is inaccurate at low signal-noise ratio (SNR). Aiming at improving performance of typical spectral subtraction speech enhancement algorithm under the circumstances of low SNR, a multiband spectral subtraction speech enhancement algorithm with phase spectrum compensation is proposed in this paper. The proposed method compensates noisy speech phase spectrum based on the SNR and estimation of noise obtained in the current frame and reduces musical noise generated by spectral subtraction. Simulation results show that the proposed algorithm has a better performance than traditional algorithms, especially at low SNR.