This book investigates the critical challenge of achieving robustness in language and speech technology systems. It focuses on key areas such as feature extraction, noise-robust recognition, adaptive systems, language modeling, parsing, and natural language understanding. The work aims to provide a comprehensive overview of current technologies in speech and language processing, bridging the gap between these often-separated fields. It is intended as a valuable reference, with potential applications in graduate and undergraduate courses.

The book is presented as a valuable reference for researchers and students in language and speech technology. Its comprehensive overview of technologies and extensive bibliography suggest it serves as a strong starting point for those wishing to delve deeper into specific topics. The integration of speech and language technologies, often treated separately, is highlighted as a key contribution. While not a formal textbook, its content is deemed suitable for advanced academic courses.