In this paper we address the problem of enhancing single channel speech signal corrupted with additive background noise. We present a new scheme which utilizes a different time frequency representation along with the psychoacoustic features of human ear and combines these features with the well-known noise estimation method of minimum tracking. Instead of Fourier transform, we use a perceptual wavelet packet decomposition of speech, and perform spectral tracking and filtering on the envelope of the analytic signal. © 2008 Springer-Verlag.
CITATION STYLE
Omidi, M., Derakhshan, N., & Hassan Savoji, M. (2008). The advantage of implementing Martin’s noise reduction algorithm in critical bands using wavelet packet decomposition and Hilbert transform. In Communications in Computer and Information Science (Vol. 6 CCIS, pp. 773–776). https://doi.org/10.1007/978-3-540-89985-3_100
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