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The Fourier Power Spectrum and Spectrogram

  • Sean A. FulopEmail author
Chapter
Part of the Signals and Communication Technology book series (SCT)

Abstract

This chapter covers the traditional speech analysis methods which rely on the discrete Fourier transform and its extension to the ubiquitous time–frequency representation known as the spectrogram. The first topic is the power spectrum of a signal window, which is derived from the magnitude of the Fourier transform in the manner explained in Chap. 2. Here, I discuss some of the methods for making power spectra of speech sounds, in an effort to show the best ways of accomplishing the desired imaging. Power spectra may be used to examine the formants of vowels and other resonant sounds, and when treated statistically they may also illuminate aspects of the noise produced during voiceless consonants. A third important application of power spectra is in the analysis and detection of different phonation types such as creaky and breathy voicing. Numerous figures provide examples of power spectra illustrating the points discussed in the text.

Keywords

Power Spectrum Window Function Speech Sound Analysis Window Gaussian Window 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Department of LinguisticsCalifornia State University FresnoFresnoUSA

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