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Computer Models for Speech Signal Representation

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A signal may be represented and described in many different ways. Traditionally, the FOURIER resolution of a signal into sinusoidal components has dominated our ideas about analysis and dictated the design of a majority of our measuring equipment. In many cases, however, this approach is inferior to one using base functions directly related to the signal being studied. A best representation for speech signals for example, is one which describes the information in the signal with the fewest possible parameters. This paper will investigate research models of the speech process which provide simple expressions for the spectral waveforms of speech sounds in terms of a set of orthogonal base functions. Synthesized speech based on one of these models will be described.
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Document Type: Research Article

Publication date: May 1, 1971

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  • Acta Acustica united with Acustica, published together with the European Acoustics Association (EAA), is an international, peer-reviewed journal on acoustics. It publishes original articles on all subjects in the field of acoustics, such as general linear acoustics, nonlinear acoustics, macrosonics, flow acoustics, atmospheric sound, underwater sound, ultrasonics, physical acoustics, structural acoustics, noise control, active control, environmental noise, building acoustics, room acoustics, acoustic materials, acoustic signal processing, computational and numerical acoustics, hearing, audiology and psychoacoustics, speech, musical acoustics, electroacoustics, auditory quality of systems. It reports on original scientific research in acoustics and on engineering applications. The journal considers scientific papers, technical and applied papers, book reviews, short communications, doctoral thesis abstracts, etc. In irregular intervals also special issues and review articles are published.
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