000 | 03681nam a22005535i 4500 | ||
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001 | 978-3-319-69002-5 | ||
003 | DE-He213 | ||
005 | 20220801221359.0 | ||
007 | cr nn 008mamaa | ||
008 | 171129s2018 sz | s |||| 0|eng d | ||
020 |
_a9783319690025 _9978-3-319-69002-5 |
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024 | 7 |
_a10.1007/978-3-319-69002-5 _2doi |
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072 | 7 |
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_a621.382 _223 |
100 | 1 |
_aFarouk, Mohamed Hesham. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _955703 |
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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. |
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300 |
_aXIV, 86 p. 25 illus., 12 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, _x2191-7388 |
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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 |
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650 | 0 |
_aTelecommunication. _910437 |
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650 | 0 |
_aHarmonic analysis. _914381 |
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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 |
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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 |