메뉴 건너뛰기




Volumn , Issue , 2009, Pages 180-184

EMD-based noise estimation and tracking (ENET) with application to speech enhancement

Author keywords

[No Author keywords available]

Indexed keywords

EMPIRICAL MODE DECOMPOSITION; MINIMUM STATISTICS; NOISE ESTIMATES; NOISE ESTIMATION; NOISE SPECTRA; NON-STATIONARY ENVIRONMENT; NONSTATIONARY SIGNALS; PERFORMANCE STUDY; SPEECH ACTIVITY; SPEECH QUALITY; SPEECH SIGNALS;

EID: 84863732852     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (13)
  • 1
    • 0035396555 scopus 로고    scopus 로고
    • Noise power spectral density estimation based on optimal smoothing and minimum statistics
    • Jul
    • R. Martin, "Noise power spectral density estimation based on optimal smoothing and minimum statistics," IEEE Trans. on Speech and Audio Processing, vol. 9, no. 5, pp. 504-512, Jul 2001.
    • (2001) IEEE Trans. on Speech and Audio Processing , vol.9 , Issue.5 , pp. 504-512
    • Martin, R.1
  • 2
    • 0041360463 scopus 로고    scopus 로고
    • Noise spectrum estimation in adverse environments: Improved minima controlled recursive averaging
    • Sept
    • I. Cohen, "Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging," IEEE Trans. on Speech and Audio Processing, vol. 11, no. 5, pp. 466-475, Sept 2003.
    • (2003) IEEE Trans. on Speech and Audio Processing , vol.11 , Issue.5 , pp. 466-475
    • Cohen, I.1
  • 3
    • 0021892216 scopus 로고
    • Speech enhancement using a minimum mean-square error log-spectral amplitude estimator
    • Apr
    • Y. Ephraim, D. Malah, "Speech enhancement using a minimum mean-square error log-spectral amplitude estimator," IEEE Trans. on Acoustics, Speech and Signal Processing, vol. 33, no. 2, pp. 443-445, Apr 1985.
    • (1985) IEEE Trans. on Acoustics, Speech and Signal Processing , vol.33 , Issue.2 , pp. 443-445
    • Ephraim, Y.1    Malah, D.2
  • 5
    • 34547520971 scopus 로고    scopus 로고
    • Detrending and denoising with empirical mode decompositions
    • P. Flandrin, P. Goncalves and G. Rilling, "Detrending and Denoising with Empirical Mode Decompositions", in Proc. EUSIPCO 2004, pp. 1581-1584, 2004.
    • (2004) Proc. EUSIPCO 2004 , pp. 1581-1584
    • Flandrin, P.1    Goncalves, P.2    Rilling, G.3
  • 7
    • 58049207757 scopus 로고    scopus 로고
    • Suppression of residual noise from speech signals using empirical mode decomposition
    • IEEE Jan
    • T. Hasan, M. K. Hasan, "Suppression of Residual Noise From Speech Signals Using Empirical Mode Decomposition," Signal Processing Letters, IEEE, vol. 16, no. 1, pp. 2-5, Jan 2009.
    • (2009) Signal Processing Letters , vol.16 , Issue.1 , pp. 2-5
    • Hasan, T.1    Hasan, M.K.2
  • 8
    • 5444236478 scopus 로고    scopus 로고
    • The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis
    • N. E. Huang et al., "The Empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis," in Proc. Royal Society London A, vol. 454, pp. 903-995, 1998.
    • (1998) Proc. Royal Society London A , vol.454 , pp. 903-995
    • Huang, N.E.1
  • 10
    • 0035500783 scopus 로고    scopus 로고
    • Speech enhancement for nonstationary noise environments
    • Nov
    • I. Cohen and B. Berdugo, "Speech enhancement for nonstationary noise environments," Signal Process., vol. 81, no. 11, pp. 2403-2418, Nov 2001.
    • (2001) Signal Process , vol.81 , Issue.11 , pp. 2403-2418
    • Cohen, I.1    Berdugo, B.2
  • 13
    • 44149106061 scopus 로고    scopus 로고
    • Evaluation of objective quality measures for speech enhancement
    • Jan
    • Y. Hu and P. C. Loizou, "Evaluation of objective quality measures for speech enhancement", in IEEE Trans. on Audio, Speech and Lang. Processing, vol. 16, no. 1, Jan 2008.
    • (2008) IEEE Trans. on Audio, Speech and Lang. Processing , vol.16 , Issue.1
    • Hu, Y.1    Loizou, P.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.