Speech enhancement with MAP estimation and ICA-based speech features

Jong Hwan Lee, Ho Young Jung, Te Won Lee, Soo Young Lee

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


The independent component analysis (ICA)-based speech features were used to remove Gaussian noise in the noisy speech signals using a maximum a posteriori (MAP) estimator. Speech signals corrupted by additive white Gaussian noise were recovered with greatly improved signal-to-noise ratio (SNR) values. Denoised spectral features also resulted in better recognition rates than the standard MFCC features.

Original languageEnglish
Pages (from-to)1506-1507
Number of pages2
JournalElectronics Letters
Issue number17
Publication statusPublished - 2000 Aug 17
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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