Application of Wavelets in Speech Processing
Description
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.
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Mohamed Hesham Farouk El-Sayed is a full professor with the Engineering Math & Physics Department within the Faculty of Engineering at Cairo University. He obtained his B.Sc. in electronics and telecommunications engineering with honors on 1982, another B.Sc. in physics on 1985 and M.Sc. in engineering physics on 1989 all from Cairo university. He received his Ph.D. in Engineering Physics from Cairo University on 1993. He is the author and coauthor of several published papers on the application of wavelets in the analysis of speech and on modeling of speech production in reputable periodicals and conferences since 1993. He is also the author of Application of Wavelets in Speech Processing (Springer 2014). M. Hesham has been actively involved in several national R&D projects on speech recognition since 1982.
Content
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.