The book "Speech Enhancement: Theory and Practice" by Philipos C. Loizou is a comprehensive guide to the field of speech enhancement, focusing on improving the quality and intelligibility of speech signals degraded by additive noise. The book is divided into three main parts: Fundamentals, Algorithms, and Evaluation. **Part I: Fundamentals** - **Chapter 2** covers discrete-time signal processing, including linear time-invariant systems, z-transform, and Fourier transform representations, with a focus on short-time Fourier analysis. - **Chapter 3** provides an overview of speech production, properties, and acoustic characteristics, as well as the acoustic cues used by listeners for speech perception. - **Chapter 4** discusses human listeners' strategies for communicating in noisy environments, emphasizing the importance of understanding these strategies for designing effective speech enhancement algorithms. **Part II: Algorithms** - **Chapter 5** describes spectral-subtractive algorithms, which estimate and subtract noise from the speech signal. - **Chapter 6** covers Wiener filtering, including iterative and noniterative methods, and constrained and unconstrained optimization techniques. - **Chapter 7** presents statistical-model-based algorithms, such as maximum-likelihood and minimum mean-square error estimators. - **Chapter 8** discusses subspace algorithms, which decompose the noisy signal into signal and noise subspaces using techniques like singular value decomposition (SVD) and eigenvalue decomposition (EVD). - **Chapter 9** focuses on noise estimation algorithms, which continuously update the noise spectrum during speech activity. **Part III: Evaluation** - **Chapter 10** provides an overview of evaluation methods for assessing the quality and intelligibility of speech enhancement algorithms, including subjective and objective measures. - **Chapter 11** compares the performance of various speech enhancement algorithms using both subjective and objective evaluation methods, providing a comprehensive evaluation of different techniques. The book is accompanied by a DVD-ROM containing speech databases and MATLAB implementations of the algorithms discussed, making it a valuable resource for both students and researchers in the field of speech enhancement.The book "Speech Enhancement: Theory and Practice" by Philipos C. Loizou is a comprehensive guide to the field of speech enhancement, focusing on improving the quality and intelligibility of speech signals degraded by additive noise. The book is divided into three main parts: Fundamentals, Algorithms, and Evaluation. **Part I: Fundamentals** - **Chapter 2** covers discrete-time signal processing, including linear time-invariant systems, z-transform, and Fourier transform representations, with a focus on short-time Fourier analysis. - **Chapter 3** provides an overview of speech production, properties, and acoustic characteristics, as well as the acoustic cues used by listeners for speech perception. - **Chapter 4** discusses human listeners' strategies for communicating in noisy environments, emphasizing the importance of understanding these strategies for designing effective speech enhancement algorithms. **Part II: Algorithms** - **Chapter 5** describes spectral-subtractive algorithms, which estimate and subtract noise from the speech signal. - **Chapter 6** covers Wiener filtering, including iterative and noniterative methods, and constrained and unconstrained optimization techniques. - **Chapter 7** presents statistical-model-based algorithms, such as maximum-likelihood and minimum mean-square error estimators. - **Chapter 8** discusses subspace algorithms, which decompose the noisy signal into signal and noise subspaces using techniques like singular value decomposition (SVD) and eigenvalue decomposition (EVD). - **Chapter 9** focuses on noise estimation algorithms, which continuously update the noise spectrum during speech activity. **Part III: Evaluation** - **Chapter 10** provides an overview of evaluation methods for assessing the quality and intelligibility of speech enhancement algorithms, including subjective and objective measures. - **Chapter 11** compares the performance of various speech enhancement algorithms using both subjective and objective evaluation methods, providing a comprehensive evaluation of different techniques. The book is accompanied by a DVD-ROM containing speech databases and MATLAB implementations of the algorithms discussed, making it a valuable resource for both students and researchers in the field of speech enhancement.