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Mathematical Modeling and Signal Processing in Speech and Hearing Sciences electronic resource by Jack Xin, Yingyong Qi.

By: Xin, Jack [author.]Contributor(s): Qi, Yingyong [author.] | SpringerLink (Online service)Material type: TextTextSeries: MS&A - Modeling, Simulation and ApplicationsPublication details: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XI, 208 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319030869Subject(s): mathematics | Computer Science | Computer simulation | Mathematics | Applications of Mathematics | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | Math Applications in Computer Science | Simulation and ModelingDDC classification: 519 LOC classification: T57-57.97Online resources: Click here to access online
Contents:
1 Background Signal Processing, Statistical and Optimization Methods -- 2 Speech Modeling -- 3 Auditory Modeling -- 4 Speech Recognition -- 5 Blind Source Separation and Speech Enhancement.
In: Springer eBooksSummary: 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.
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1 Background Signal Processing, Statistical and Optimization Methods -- 2 Speech Modeling -- 3 Auditory Modeling -- 4 Speech Recognition -- 5 Blind Source Separation and Speech Enhancement.

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.

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