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Application of wavelets in speech processing / Mohamed Hesham Farouk.

Farouk, Mohamed Hesham, author.
2018
TK7882.S65
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Title
Application of wavelets in speech processing / Mohamed Hesham Farouk.
Author
Farouk, Mohamed Hesham, author.
Edition
2nd ed.
ISBN
9783319690025 (electronic book)
3319690027 (electronic book)
3319690019
9783319690018
DOI
https://doi.org/10.1007/978-3-319-69002-5
Publication Details
Cham : Springer, 2018.
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-319-69002-5 doi
Call Number
TK7882.S65
Dewey Decimal Classification
621.382
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (viewed December 7, 2017).
Series
SpringerBriefs in electrical and computer engineering. Speech technology.
Available in Other Form
Print version: 9783319690018
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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.

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