Title :
Compressed domain speech enhancement based on the joint modification of codebook gains
Author :
Xia, Bing-yin ; Bao, Chang-chun ; Liang, Yan ; Zhou, Xuan ; He, Yu-wen ; Li, Ru-wei
Author_Institution :
Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
Abstract :
A compressed domain speech enhancement method based on the joint modification of adaptive and algebraic codebook gains for the codec of ITU-T G.722.2 is proposed in this paper. First the power of excitation signal corresponding to the noise is estimated by the method of minimum statistics. Then the decision-directed approach is used to get an estimate of the a priori SNR. And the algebraic codebook gain is modified by multiplying a Wiener-type modification factor. In order to solve the problem of power loss in voiced segment, the modified adaptive codebook gain is got by keeping the power of the modified excitation signal equal to the scaled version of the noisy one. The result of performance evaluation under ITU-T G.160 shows that, in comparison with the method that only modifies the algebraic codebook gain, the proposed method could provide larger amount of noise reduction in both white and colored noise with smaller attenuation on the speech level, and the objective speech quality is improved evidently.
Keywords :
adaptive codes; algebraic codes; data compression; signal denoising; speech codecs; speech coding; speech enhancement; statistics; white noise; ITU-T G.160; ITU-T G.722.2 codec; Wiener-type modification factor; a priori SNR estimation; adaptive codebook gains; algebraic codebook gains; codebook gains joint modification; colored noise reduction; compressed domain speech enhancement method; decision-directed approach; excitation signal power; minimum statistics method; objective speech quality; power loss problem; speech level attenuation; voiced segment; white noise reduction; Noise measurement; Noise reduction; Signal to noise ratio; Speech; Speech coding; Speech enhancement; CELP; codebook gain; compressed domain; joint modification; speech enhancement;
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2011 IEEE International Symposium on
Conference_Location :
Bilbao
Print_ISBN :
978-1-4673-0752-9
Electronic_ISBN :
978-1-4673-0751-2
DOI :
10.1109/ISSPIT.2011.6151561