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001 978-3-319-69002-5
003 DE-He213
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008 171129s2018 sz | s |||| 0|eng d
020 _a9783319690025
_9978-3-319-69002-5
024 7 _a10.1007/978-3-319-69002-5
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aUYS
_2thema
082 0 4 _a621.382
_223
100 1 _aFarouk, Mohamed Hesham.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_955703
245 1 0 _aApplication of Wavelets in Speech Processing
_h[electronic resource] /
_cby Mohamed Hesham Farouk.
250 _a2nd ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIV, 86 p. 25 illus., 12 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
_x2191-7388
505 0 _aChapter 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 _aThis 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.
650 0 _aSignal processing.
_94052
650 0 _aTelecommunication.
_910437
650 0 _aHarmonic analysis.
_914381
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aAbstract Harmonic Analysis.
_955704
710 2 _aSpringerLink (Online service)
_955705
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319690018
776 0 8 _iPrinted edition:
_z9783319690032
830 0 _aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
_x2191-7388
_955706
856 4 0 _uhttps://doi.org/10.1007/978-3-319-69002-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79606
_d79606