Handbook of Speech Recognition

Speech recognition refers to the computational technology enabling computers to comprehend and process spoken language. It involves converting spoken words into textual representations or executable commands, facilitating hands-free interaction with digital systems. This field employs sophisticated algorithms to analyse acoustic signals, identifying linguistic patterns and mapping them to known vocabulary and syntax. Modern speech recognition systems integrate machine learning techniques to adapt to diverse accents, variations in pronunciation and contextual implications, thereby enhancing accuracy and usability over time. Applications range from voice-controlled systems in smart devices and automated transcription services to interactive language processing tools. Continual advancements in speech recognition promise to advance accessibility, productivity and the naturalness of human-computer interaction across domains such as healthcare, education, and consumer electronics, emphasising its profound impact on technological innovation and user experience enhancement. This book elucidates the concepts and innovative models around prospective developments with respect to speech recognition. Speech recognition is an upcoming field of science that has undergone rapid development over the past few decades. This book includes contributions of experts and scientists which will provide innovative insights into this field.