Wavelet-based noise reduction
Nathaniel A. Whitmal, Janet C. Rutledge, Jonathan Cohen · 2002
A novel method for enhancement of noisy speech is presented. Frames of speech samples are split into low and high frequency bands and projected onto a library of bases consisting of local trigonometric functions and wavelet packets. Coefficients thought to represent only the speech are selected by means of the minimum description length (MDL) criterion, and used to synthesize an estimate of the original speech. A tracking algorithm uses MDL values to choose between the MDL processor and alternate processors which reject audible artifacts. Preliminary results indicate that the new algorithm may be useful in applications requiring a single-microphone noise reduction system for speech.