An Overview of Methodologies and Prototypes involved in Speech Recognition Systems

The discipline of voice recognition is characterised by its multidisciplinary nature, incorporating the domains of linguistics, electrical engineering, and computer science. Its primary focus lies in the analysis and interpretation of spoken language. At present, automated voice recognition systems are employed across several fields such as commerce, government, and education, to effectively process mathematical statements. The present study is centred on the identification of impediments in speech recognition systems for mathematical phrases. This article offers a comprehensive examination of the current status of voice recognition techniques, encompassing a broad scope as well as focusing on the specialised domain of mathematical expressions. In this study, we examine many components including feature extraction approaches, classifiers, datasets, recording tools, and performance assessments.