Editing Large Vocabulary Continuous Speech Recognition (section)

== Introduction ==
Large Vocabulary Continuous Speech Recognition(LVCSR), stands as a sophisticated technology within the domain of Automatic Speech Recognition (ASR). LVCSR specifically focuses on the recognition of a sequence of words from a vast and diverse vocabulary without information of the word boundaries.<ref>Mitankin, P., Mihov, S., & Tinchev, T. (2009). ''Large Vocabulary Continuous Speech Recognition for Bulgarian''. International Conference RANLP. 246–250</ref>  LVCSR system is composed of four indispensable components: Front-End Processing, Acoustic Model, Language Model, and Search & System Combination.<ref>Saon, G., & Chien, J.-T. (2012). Large-Vocabulary Continuous Speech Recognition Systems: A Look at Some Recent Advances. ''IEEE Signal Processing Magazine'', ''29''(6), 18–33. <nowiki>https://doi.org/10.1109/MSP.2012.2197156</nowiki></ref> Collectively, these components work seamlessly to transform speech signals into coherent word sequences. With the advancement of [[Deep Learning Revolution|deep learning]], LVCSR has witnessed a substantial enhancement in accuracy. This breakthrough has broadened the applicability of LVCSR across various industries and applications, making it an indispensable tool in the realm of speech recognition technology.