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LR Rabiner and RW Schafer, June 3

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DRAFT: L. R. <strong>Rabiner</strong> <strong>and</strong> R. W. <strong>Schafer</strong>, <strong>June</strong> 3, 2009<br />

Chapter 8<br />

The Cepstrum <strong>and</strong><br />

Homomorphic Speech<br />

Processing<br />

8.1 Introduction<br />

In 1963, Bogert, Healy <strong>and</strong> Tukey published a chapter with one of the most<br />

unusual titles to be found in the literature of science <strong>and</strong> engineering, namely<br />

“The Quefrency Alanysis of Time Series for Echoes” [1]. In this paper, the<br />

authors observed that the logarithm of the Fourier spectrum of a signal plus an<br />

echo (delayed <strong>and</strong> scaled replica) consisted of the logarithm of the signal spectrum<br />

plus a periodic component due to the echo. They suggested that further<br />

Fourier analysis of the log spectrum could highlight the periodic component in<br />

the log spectrum <strong>and</strong> thus lead to a new indicator of the occurrence of an echo.<br />

Specifically they made the following observation:<br />

“In general, we find ourselves operating on the frequency side in<br />

ways customary on the time side <strong>and</strong> vice versa.”<br />

As an aid in formalizing this new point of view, where the time- <strong>and</strong> frequencydomains<br />

are interchanged, Bogert et al. created a number of new terms by<br />

transposing letters in familiar engineering terms. For example, to emphasize<br />

that the log spectrum was to be viewed as a waveform to be subjected to Fourier<br />

analysis, they defined the term “cepstrum” of a signal as the power spectrum of<br />

the logarithm of the power spectrum of a signal. Similarly, the term “quefrency”<br />

was introduced for the independent variable of the cepstrum. In Reference [1],<br />

Bogert et al. proposed a number of other terms with the goal of emphasizing<br />

the parallels that arise when the time <strong>and</strong> frequency domains are interchanged.<br />

The definitions of a subset of these terms are given in Table 8.1. A few of these<br />

terms have survived the test of time <strong>and</strong> will be used in the discussions of this<br />

chapter.<br />

Bogert et al. based their definition of the cepstrum on a rather loose interpretation<br />

of the spectrum of an analog signal. In fact, their simulations used<br />

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