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A linear periodically time-varying filter for time-frequency scaling of speech

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2 Author(s)
M. K. Asi ; Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA ; B. E. A. Saleh

A method is introduced for finding a signal fˆ(n ) with a time-varying spectrum Cˆ(nω) approximating a geometric transformation Cn,βω) in the mean-square sense. The phases of C(n,ω) and Cn ,βω) are allowed to differ by a smooth function of n and ω selected to minimize the overall difference between these complex functions. The result is a periodically time-varying filter relating fˆ(n) and f(n), which is easy to implement, requiring few arithmetic operations per output sample. The method shows high fidelity in recovering the original signal from its scaled version. It is shown that for the same bit rate reduction, joint time-frequency scaling renders higher signal-to-noise ratios than either time-only or frequency-only scaling

Published in:

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Date of Conference:

3-6 Apr 1990