Practical Machine Learning for Speech Processing

This book represents years of research by various authors based on machine learning for speech processing. The book has been designed to define the basic audio and speech processing and recent advances towards machine intelligence for speech processing and recognition. The key features of the book are to present new classification and identification algorithms for data prediction and analysis using machine learning. Alongside, it discusses the recent and future advancements in various feature extraction techniques and machine learning methods for speech processing. All the chapters in this book are dedicated to theoretical considerations, usage of modern algorithms, experimental results and authors’ comments on them. Overall, the level of text is suited to all types of readers because of the methodological approach of this book. This book serves as a single practical platform where one can access a number of advances, evaluations and insights on speech modelling and analysis.