Intelligent Speech Processing Technology

This book provides a comprehensive overview of the latest research breakthroughs and technological applications in modern speech technology, with a special focus on deep learning and multimodal integration. The book explores how advances in machine learning, attention mechanisms, and cross-modal information fusion are reshaping the field. It addresses current limitations in noise robustness, emotion perception, contextual understanding, and human-like speech synthesis, providing innovative solutions through both theoretical frameworks and cutting-edge models. The aim is to offer a unified view of how speech systems can be enhanced in accuracy, naturalness, and interactivity. By integrating perspectives from linguistics, signal processing, and affective computing, the book appeals to an interdisciplinary audience seeking to understand and shape the future of speech-based intelligence.