Title :
Wavelet-based noise reduction
Author :
Whitmal, Nathaniel A. ; Rutledge, Janet C. ; Cohen, Jonathan
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Abstract :
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
Keywords :
acoustic noise; acoustic signal processing; interference suppression; speech enhancement; wavelet transforms; audible artifact; enhancement; frames; local trigonometric functions; minimum description length; noisy speech; single-microphone noise reduction system; speech samples; tracking algorithm; wavelet packets; wavelet-based noise reduction; Acoustic noise; Additive white noise; Auditory system; Frequency; Libraries; Mathematics; Noise reduction; Signal processing algorithms; Speech enhancement; Speech processing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479477
