Conference Proceeding

An adaptive time-shift analysis for DCT based speech enhancement

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
01/2010; DOI:10.1109/ICICS.2009.5397500 pp.1 - 4 In proceeding of: Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on
Source: IEEE Xplore

ABSTRACT Discrete cosine transform (DCT) exhibits different properties from discrete Fourier transform (DFT) due to the lack of phase components. This leads to high variance in DCT coefficients between frames even for perfect stationary inputs. In this paper, an adaptive analysis window-shift is proposed to reduce the drawbacks of the fixed window-shift. The amount of shift in the analysis window is now based on the pitch period, thus increasing the interframe similarities. A number of objective measures are performed to evaluate this proposed technique. The experimental results clearly demonstrate the effectiveness of our technique in improving the DCT based speech enhancement algorithms despite its similarities.

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Keywords

adaptive analysis window-shift
 
analysis window
 
Discrete cosine
 
discrete Fourier
 
fixed window-shift
 
frames
 
perfect stationary inputs
 
pitch period
 
proposed technique
 
speech enhancement algorithms
 
variance