2011 International Conference on Devices and Communications (ICDeCom) 2011
DOI: 10.1109/icdecom.2011.5738532
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Speech Enhancement Using MMSE Estimation and Spectral Subtraction Methods

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Cited by 12 publications
(5 citation statements)
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“…Artificial noisy signals were prepared by adding car noise, machine gun noise and LYNX noise from NOISEX-92database [15] [4] [17] to this clean sentence at 0dB, 5dB, 10dB and 20dB SNR levels.…”
Section: A Preparation Of Noisy Databasementioning
confidence: 99%
“…Artificial noisy signals were prepared by adding car noise, machine gun noise and LYNX noise from NOISEX-92database [15] [4] [17] to this clean sentence at 0dB, 5dB, 10dB and 20dB SNR levels.…”
Section: A Preparation Of Noisy Databasementioning
confidence: 99%
“…Different solutions are provided to enhance the intelligibility and quality of the speech signals and improve the performance of the BSS systems. The classical techniques overcome this problem by using adaptive techniques like minimum means square error (MMSE) [1][2][3][4][5][6][7]. The MMSE adjusts itself according to the observed convolutive mixture.…”
Section: Introductionmentioning
confidence: 99%
“…Different solutions are provided to enhance the intelligibility and quality of the speech signals and improve the performance of the BSS systems. The classical techniques overcome this problem by using adaptive techniques such as minimum means square error (MMSE) [1][2][3][4][5][6][7]. The MMSE adjusts itself according to the observed convolutive mixture.…”
Section: Introductionmentioning
confidence: 99%