Understanding Speech Processing: Mechanisms, Theories, and Applications

Abstract

Speech processing is a complex cognitive function that involves the interpretation, recognition, and generation of speech signals. This review explores the key mechanisms behind speech processing, focusing on the neurological, psychological, and computational aspects of speech recognition and production. We discuss the major theories that aim to explain how humans process spoken language, including models of auditory perception, phonological representation, and neural processing. Additionally, the article examines advancements in speech processing technologies and their applications in fields such as speech recognition, synthesis, and assistive technologies. Finally, we look at the challenges faced in this field, such as accent variation, noise interference, and language ambiguity, and highlight the future directions for research and development.