Abstract: Traditional speech de-noising algorithms have a lack of adaptability, and it is therefore difficult to select an algorithm that is simultaneously effective for different kinds of noise. This study presents a speech de-noising adaptive algorithm that uses a quantum stochastic filter. The algorithm shows strong compatibility, and is able to effectively filter noises from speech with different noises thereby overcoming the poor compatibility of traditional speech de-noising algorithms. The experimental results thus validate the algorithm.