Application of Wavelets in Speech Processing (Record no. 79606)

000 -LEADER
fixed length control field 03681nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-3-319-69002-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801221359.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 171129s2018 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319690025
-- 978-3-319-69002-5
082 04 - CLASSIFICATION NUMBER
Call Number 621.382
100 1# - AUTHOR NAME
Author Farouk, Mohamed Hesham.
245 10 - TITLE STATEMENT
Title Application of Wavelets in Speech Processing
250 ## - EDITION STATEMENT
Edition statement 2nd ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 86 p. 25 illus., 12 illus. in color.
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-69002-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Telecommunication.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Harmonic analysis.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing .
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Communications Engineering, Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Abstract Harmonic Analysis.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2191-7388
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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