Mathematical Modeling and Signal Processing in Speech and Hearing Sciences by Jack Xin

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Summary

The aim of the book is to give an accessible introduction of mathematical models and signal processing methods in speech and hearing sciences for senior undergraduate and beginning graduate students with basic knowledge of linear algebra, differential equations, numerical analysis, and probability.

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Mathematical Modeling and Signal Processing in Speech and Hearing Sciences by Jack Xin

The aim of the book is to give an accessible introduction of mathematical models and signal processing methods in speech and hearing sciences for senior undergraduate and beginning graduate students with basic knowledge of linear algebra, differential equations, numerical analysis, and probability. Speech and hearing sciences are fundamental to numerous technological advances of the digital world in the past decade, from music compression in MP3 to digital hearing aids, from network based voice enabled services to speech interaction with mobile phones. Mathematics and computation are intimately related to these leaps and bounds. On the other hand, speech and hearing are strongly interdisciplinary areas where dissimilar scientific and engineering publications and approaches often coexist and make it difficult for newcomers to enter.

From the book reviews:

“The value of the book is enforced by the fact that each chapter is accompanied with specific sections: chapter summary, MATLAB programs, proposed exercisesIt is intended for students at the level of senior undergraduate and beginning graduate ones.” (Dumitru Stanomir, zbMATH, Vol. 1293, 2014)
SKU Unavailable
ISBN 13 9783319030852
ISBN 10 331903085X
Title Mathematical Modeling and Signal Processing in Speech and Hearing Sciences
Author Jack Xin
Series Ms And A
Condition Unavailable
Binding Type Hardback
Publisher Springer International Publishing AG
Year published 2013-12-05
Number of pages 208
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.