Noise reduction based on wavelet transform under non-stationary environments

IEEE International Conference on Mechatronics and Automation, ICMA 2005

Volumn , Issue , 2005, Pages 2123-2129

  Qiang, Qiao ^a,b   Jiliu, Zhou ^a   Kun, He ^a   Jian, Li ^a  

^a SICHUAN UNIVERSITY   (China)

^b Xi Hua University   (China)

Author keywords

Noise reduction; Non stationary; Signal; Wavelet transform

Indexed keywords

NOISE REDUCTION ALGORITHM; NON-STATIONARY ENVIRONMENTS; SIGNAL;

ALGORITHMS; AMPLITUDE MODULATION; DISTRIBUTED COMPUTER SYSTEMS; PROBLEM SOLVING; WAVELET TRANSFORMS;

NOISE ABATEMENT;

EID: 27744447548     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. S. Boll. Reduction of acoustic noise in speech using spectral subtraction. IEEE Transactions on Acoustics, Speech, and Signal processing. 1979(2):112-120
2. M. Berouti, R. Schwartz, J. Makhoul. Enhancement of speech corrupted by acoustic noise. Proc. IEEEI CASSP, Washington, DC, Apr. 1979; 208-211.
3. P. Lockwood, J. Boudy. Experiments with a nonlinear spectral sub tractor (NNS), hidden Markov models and projection for robust recognition in cars. Speech Communication. 1992; 11; 215-228;
4. Boh Lim Sim, Yit Chow Tong etc.. A parametric formulation of the generalized spectral subtraction method. IEEE Transaction on Speech and Audio Processing. 1988;6(4); 328-337.
5. I. Cohen, B. Berdugo. Speech enhancement for non-stationary noise environments. Signal Processing, 2001; 81: 2403-2418.
6. R. Martin. Noise power spectral density estimation based on optimal smoothing and minimum statistics. IEEE. Transactions on Speech and Audio Processing. 2001 ;9(5): 504-512.
7. Ting Fu, Huanfu chen, Dezhong Yao. Noise reduction by a new iterative weighted sparse decomposition algorithm. 2002 international conference on communications circuits and systems and west sino expositions proceedings,Vol2,909-913