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E-raamat: Application of Wavelets in Speech Processing

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Application of Wavelets in Speech ProcessingSuurem pilt
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This book provides a survey on wide-spread of employing wavelets analysis in different applications of speech processing. The author examines development and research in different applications of speech processing. The book also summarizes the state of the art research on wavelet in speech processing.
1 Introduction
1(4)
1.1 History and Definition of Speech Processing
1(1)
1.2 Applications of Speech processing
2(1)
1.3 Recent Progress in Speech Processing
2(3)
References
3(2)
2 Speech Production and Perception
5(6)
2.1 Speech Production Process
5(1)
2.2 Classification of Speech Sounds
6(1)
2.3 Modeling of Speech Production
7(1)
2.4 Speech Perception Modeling
7(2)
2.5 Intelligibility and Speech Quality Measures
9(2)
References
9(2)
3 Wavelets, Wavelet Filters, and Wavelet Transforms
11(10)
3.1 Short-Time Fourier Transform (STFT)
11(1)
3.2 Multiresolution Analysis and Wavelet Transform
12(2)
3.3 Wavelets and Bank of Filters
14(1)
3.4 Wavelet Families
14(2)
3.5 Wavelet Packets
16(5)
References
18(3)
4 Speech Enhancement and Noise Suppression
21(4)
References
23(2)
5 Speech Quality Assessment
25(2)
References
26(1)
6 Speech Recognition
27(4)
References
29(2)
7 Emotion Recognition from Speech
31(2)
References
32(1)
8 Speaker Recognition
33(4)
References
34(3)
9 Spectral Analysis of Speech Signal and Pitch Estimation
37(4)
References
39(2)
10 Speech Coding, Synthesis, and Compression
41(2)
References
42(1)
11 Speech Detection and Separation
43(2)
References
44(1)
12 Steganography and Security of Speech Signal
45(4)
References
46(3)
13 Clinical Diagnosis and Assessment of Speech Disorders
49(2)
References
50(1)
Index 51
Mohamed Hesham Farouk El-Sayed is a full professor with the Engineering Math & Physics Deptartment within the Faculty of Engineering at Cairo University
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