Computer Methods and Programs in Biomedicine
Implementation of SYMLET wavelets to removal of Gaussian additive noise from speech signal
NEHIPISIC'11 Proceeding of 10th WSEAS international conference on electronics, hardware, wireless and optical communications, and 10th WSEAS international conference on signal processing, robotics and automation, and 3rd WSEAS international conference on nanotechnology, and 2nd WSEAS international conference on Plasma-fusion-nuclear physics
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The author examines some of the ways that speech signals, subjected to certain degradations (e.g. additive noise, interfering speakers, bandlimiting, single-channel data), can be processed to increase the likelihood of being correctly understood. He concentrates on applications that involve monaural listening. He treats spectral and time-domain subtraction techniques, methods involving fundamental frequency tracking, and enhancement by resynthesis