Improved prior SNR estimation for sound enhancement based on DCT

Author

Zhang, Xuemin ; Jiang, Hang ; Wang, Xiuyan

Author_Institution

Fac. of Electr. Eng. & Inf. Technol., Changchun Inst. of Technol., Changchun, China

fYear

2011

fDate

14-16 Sept. 2011

Firstpage

1

Lastpage

3

Abstract

A improved algorithm named MTSNR (Modified TSNR) in DCT domain was proposed in this paper. At the second step in original TSNR with assumption of Gaussian model in the signal, this method used MMSE (Minimum Mean Square Error) technique to estimate the prior SNR at current speech frame. The proposed approach is simple and fast and requires no any prior condition on the gain function of the speech enhancement system. And it can eliminate the drawback of the TSNR method while deep its advantages. Experimental results show that the improved approach has excellent performance under different noise background.

Keywords

Gaussian processes; least mean squares methods; speech enhancement; DCT; Gaussian model; SNR estimation; minimum mean square error technique; sound enhancement; speech enhancement system; Estimation; Signal processing algorithms; Signal to noise ratio; Speech; Speech enhancement; DD(Decision-Directed) Approach; MMSE (Mini Mean Square Error); Prior SNR (Signal to Noise Ratio); Sound enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4577-0893-0

Type

conf

DOI

10.1109/ICSPCC.2011.6061578

Filename

6061578