Noise estimation based on series expansion of orthogonal functions
Taiji Akasaka, Tetsuya Shimamura · 2010
In this paper, noise estimation based on series expansion of orthogonal functions is proposed. The proposed method searches speechless frequency regions and estimates the noise spectrum from the searched speechless frequency regions. The proposed method can adapt to changing of noise power without estimation delay. Experimental results show that the proposed method provides a good performance against time-varying noise.