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Linear prediction of speech. (English) Zbl 0443.94002

Communication and Cybernetics. 12. Berlin-Heidelberg-New York: Springer-Verlag. xii, 288 with 129 figs. Cloth DM 73.00; $ 30.00 (1976).
Publisher’s description: During the past ten years a new area in speech processing, generally referred to as linear prediction, has evolved. As with all scientific research, results did not always get published in a logical order and terminology was not always consistent. In mid-1974, we decided to begin an extra hours and weekends project of organizing the literature in linear prediction of speech and developing it into a unified presentation in terms of content and terminology. This effort was completed in November, 1975, with the contents presented herein. If there are two words which describe our goals in this book, they are unification and depth. Considerable effort has been spent on showing the interrelationships among various linear prediction formulations and solutions, and in developing extensions such as acoustic tube models and synthesis filter structures in a unified manner with consistent terminology. Topics are presented in such a manner that derivations and theoretical details are covered, along with Fortran subroutines and practical considerations. Using this approach we hope to have made the material useful for a wide range of backgrounds and interests.
Contents: Ch. 1: Introduction. Ch. 2: Formulations. Ch. 3: Solutions and Properties. Ch. 4: Acoustic Tube Modeling. Ch. 5: Speech Synthesis Structures. Ch. 6: Spectral Analysis. Ch. 7: Automatic Formant Trajectory Estimation. Ch. 8: Fundamental Frequency Estimation. Ch. 9: Computational Considerations in Analysis. Ch. 10: Vocoders. Ch. 11: Further Topics. References. Subject Index.

MSC:

94-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to information and communication theory
62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
94A05 Communication theory
62M15 Inference from stochastic processes and spectral analysis
62M20 Inference from stochastic processes and prediction
68T10 Pattern recognition, speech recognition
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