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Application of wavelets in speech pr...

Farouk, Mohamed Hesham.

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Application of wavelets in speech processing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Application of wavelets in speech processing/ by Mohamed Hesham Farouk.
作者:	Farouk, Mohamed Hesham.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xiv, 86 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Introduction -- Chapter 2. Speech Production and Perception -- Chapter 3.Wavelets, Wavelet Filters and Wavelet Transforms -- Chapter 4. Spectral analysis of speech signal and Pitch estimation -- Chapter 5.Speech detection and separation -- Chapter 6.Speech Enhancement and Noise Suppression -- Chapter 7.Speech Recognition -- Chapter 8.Speaker Identification -- chapter 9.Emotion Recognition from Speech -- Chapter 10.Speech Coding, Synthesis and Compression -- Chapter 11.Speech Quality Assessment -- Chapter 12. Scalogram and Nonlinear Analysis Of Speech -- Chapter 13. Steganography, Forensics and Security of Speech signal -- Chapter 14. Clinical Diagnosis and Assessment of Speech Pathology.
Contained By:	Springer eBooks
標題:	Speech processing systems. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-69002-5
ISBN:	9783319690025

Application of wavelets in speech processing
Farouk, Mohamed Hesham.

Application of wavelets in speech processing[electronic resource] /by Mohamed Hesham Farouk. - 2nd ed. - Cham :Springer International Publishing :2018. - xiv, 86 p. :ill., digital ;24 cm. - Springerbriefs in electrical and computer engineering,2191-8112. - Springerbriefs in electrical and computer engineering..

Chapter 1. Introduction -- Chapter 2. Speech Production and Perception -- Chapter 3.Wavelets, Wavelet Filters and Wavelet Transforms -- Chapter 4. Spectral analysis of speech signal and Pitch estimation -- Chapter 5.Speech detection and separation -- Chapter 6.Speech Enhancement and Noise Suppression -- Chapter 7.Speech Recognition -- Chapter 8.Speaker Identification -- chapter 9.Emotion Recognition from Speech -- Chapter 10.Speech Coding, Synthesis and Compression -- Chapter 11.Speech Quality Assessment -- Chapter 12. Scalogram and Nonlinear Analysis Of Speech -- Chapter 13. Steganography, Forensics and Security of Speech signal -- Chapter 14. Clinical Diagnosis and Assessment of Speech Pathology.

This new edition provides an updated and enhanced survey on employing wavelets analysis in an array of applications of speech processing. The author presents updated developments in topics such as; speech enhancement, noise suppression, spectral analysis of speech signal, speech quality assessment, speech recognition, forensics by Speech, and emotion recognition from speech. The new edition also features a new chapter on scalogram analysis of speech. Moreover, in this edition, each chapter is restructured as such; that it becomes self contained, and can be read separately. Each chapter surveys the literature in a topic such that the use of wavelets in the work is explained and experimental results of proposed method are then discussed. Illustrative figures are also added to explain the methodology of each work.

ISBN: 9783319690025

Standard No.: 10.1007/978-3-319-69002-5doiSubjects--Topical Terms:

590570
Speech processing systems.

LC Class. No.: TK7882.S65

Dewey Class. No.: 621.382

Application of wavelets in speech processing
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505 0 $a Chapter 1. Introduction -- Chapter 2. Speech Production and Perception -- Chapter 3.Wavelets, Wavelet Filters and Wavelet Transforms -- Chapter 4. Spectral analysis of speech signal and Pitch estimation -- Chapter 5.Speech detection and separation -- Chapter 6.Speech Enhancement and Noise Suppression -- Chapter 7.Speech Recognition -- Chapter 8.Speaker Identification -- chapter 9.Emotion Recognition from Speech -- Chapter 10.Speech Coding, Synthesis and Compression -- Chapter 11.Speech Quality Assessment -- Chapter 12. Scalogram and Nonlinear Analysis Of Speech -- Chapter 13. Steganography, Forensics and Security of Speech signal -- Chapter 14. Clinical Diagnosis and Assessment of Speech Pathology.
520 $a This new edition provides an updated and enhanced survey on employing wavelets analysis in an array of applications of speech processing. The author presents updated developments in topics such as; speech enhancement, noise suppression, spectral analysis of speech signal, speech quality assessment, speech recognition, forensics by Speech, and emotion recognition from speech. The new edition also features a new chapter on scalogram analysis of speech. Moreover, in this edition, each chapter is restructured as such; that it becomes self contained, and can be read separately. Each chapter surveys the literature in a topic such that the use of wavelets in the work is explained and experimental results of proposed method are then discussed. Illustrative figures are also added to explain the methodology of each work.
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