Titlebook: Speech Spectrum Analysis; Sean A. Fulop Book 2011 Springer-Verlag Berlin Heidelberg 2011 Best parametric approach.DSP.Fourier Power Spectr

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The Fourier Power Spectrum and Spectrogram,atistically 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.

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Introduction,of speech sound. When the vocal cords vibrate (as they do during “voiced” speech sounds), they contact each other and produce air pressure pulses in a repeating rhythm between 70–250 times each second. This rhythm is so rapid that it yields a sound in the surrounding air having the vibration rate as

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The Fourier Power Spectrum and Spectrogram,uency representation known as the .. 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

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,Alternative Time–Frequency Representations,many different time–frequency representations have been devised, studied, and applied to various signal analysis problems (e.g. [1]). Unfortunately, the subject has never to my knowledge been made accessible to speech scientists, with the result that we have rarely availed ourselves of any such repr

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