Title :
Spectral Subtraction Speech Enhancement Technology Based on Fast Noise Estimation
Author :
Jun, Luo ; He, Zhiming
Author_Institution :
Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In this paper, a spectral subtraction speech enhancement technology based on fast noise estimation is studied. Experiments show that this algorithm can significantly improve the performance compared to the basic spectral subtraction algorithm. This algorithm can estimate the noise power spectrum quickly in nonstationary noise environment and it has an easy implementation and small amount of calculation.
Keywords :
spectral analysis; speech enhancement; fast noise estimation; nonstationary noise environment; spectral subtraction speech enhancement technology; Additive noise; Amplitude estimation; Gaussian distribution; Gaussian noise; Helium; Interference; Power engineering and energy; Signal to noise ratio; Speech enhancement; Working environment noise;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5362621
