There are several different ways to perform sampling rate conversion. Two methods for sampling rate conversion are discussed in this paper. The first is the interpolator method (ideal) which uses the interpolation formula. The word “ideal” is used in the sense that given other forms of interpolation, the most accurate results are achieved by using the interpolation formula. Given samples of bandlimited analog signal taken at a rate at least twice the Nyquist frequency, it is possible to reconstruct the original analog signal by using the interpolation formula. The second is the traditional way of sampling rate conversion, which is a digital signal processing approach to interpolation, and which needs FIR filtering for correct results. In this paper these methods are applied to speech, but they may be applied to any signal where sampling rate conversion is necessary. Both methods enhance the sampled signal by making it appear that it was sampled at a higher rate than it actually was. The reason for performing sampling rate conversion on the digitized speech signal is that the rate at which analog-to-digital conversion (8 KHz) takes place is different than the rate at which digital-to-analog conversion (10.4 KHz) takes place for the speech processing facility that was used. This facility is located at FAU (Florida Atlantic University) in Boca Raton. The ideal interpolator is a more accurate method for speech retrieval than the traditional way.
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Harris, Michael G.
Master of Science (M.S.)
College of Engineering
Length of Campus-only Access
Masters Thesis (Open Access)
Tanzey, Terry E., "Sampling Rate Conversion as Applied to Speech" (1985). Retrospective Theses and Dissertations. 4839.