Speech Recognition Using Blind Source Separation and Dereverberation Method for Mixed Sound of Speech and Music

In this paper, we propose a method for performing a non-stationary noise reduction and dereverberation method. We use a blind dereverberation method based on spectral subtraction using a multi-channel least mean square algorithm has been proposed in our previous study. To suppress the non-stationary noise, we used a blind source separation based on an efficient fast independent component analysis algorithm. This method is evaluated using a mixed sound of speech and music, and achieves an average relative word error reduction rate of 41.9% and 7.9% compared with a baseline method and the state-of-the-art multi-step linear prediction-based dereverberation, respectively, in a real environment.