Speech Recognition: Theory and Applications

Speech recognition is the automated process of converting spoken language into text or commands by a computer system. Using complex algorithms, speech recognition systems analyse audio signals to identify and interpret patterns of speech sounds, known as phonemes, and then convert these into textual representations. This technology relies on various computational techniques such as machine learning, neural networks and statistical modelling to improve accuracy and adaptability across different accents, languages and speaking styles. Ongoing research focuses on enhancing recognition accuracy, reducing processing time and expanding the capabilities of speech recognition in noisy environments and diverse linguistic contexts, thereby advancing its utility in everyday interactions and professional settings. This book provides comprehensive insights into the field of speech recognition. The objective of this book is to give a general view of the different areas of Artificial Intelligence, and its applications. The readers would gain knowledge that would broaden their perspective about speech recognition systems.