Application of Wavelets in Speech Processing

Fully updated edition provides the latest advances in the application of wavelets in speech technology

Features updated information on Spectral Analysis of Speech Signal and Pitch Estimation; Speech Coding, Synthesis, and Compression; and Speech Detection and Separation

New sections are added to discuss the application of wavelets analysis in forensics

The new edition also presents a new chapter on scalogram analysis of speech

Fully updated edition provides the latest advances in the application of wavelets in speech technology Features updated information on Spectral Analysis of Speech Signal and Pitch Estimation; Speech Coding, Synthesis, and Compression; and Speech Detection and Separation New sections are added to discuss the application of wavelets analysis in forensics The new edition also presents a new chapter on scalogram analysis of speech

Autorentext
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.

Klappentext

Inhalt

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.