Farouk M.H. Application of Wavelets in Speech Processing

Springer, 2014. — 53 p.As the wavelets gain wide applications in different fields, especially within the signal processing realm, this chapter will provide a survey on widespread employing of wavelets analysis in different applications of speech processing. Many speech processing algorithms and techniques still lack some sort of robustness which can be improved through the use of wavelet tools. Researchers and practitioners in speech technology will find valuable information on the use of wavelets to strengthen both development and research in different applications of speech processing.
In this monograph, we discuss many proposed algorithms which employ wavelet transform (WT) for different applications in speech technology. A survey was conducted through recent works which used WT in speech processing realms. This survey covers both the use of wavelets in enhancing previously proposed algorithms and new algorithms based, principally, on wavelet analysis. In general, wavelet analysis can serve through many ways in speech processing since it can provide new enhanced spectral analysis approach, basis-expansion for signals, identification features, and can serve well for noise cancellation.Speech Production and Perception.
Wavelets, Wavelet Filters, and Wavelet Transforms.
Speech Enhancement and Noise Suppression.
Speech Quality Assessment.
Speech Recognition.
Emotion Recognition from Speech.
Speaker Recognition.
Spectral Analysis of Speech Signal and Pitch Estimation.
Speech Coding, Synthesis, and Compression.
Speech Detection and Separation.
Steganography and Security of Speech Signal.
Clinical Diagnosis and Assessment of Speech Disorders.