Spoken Language Translation using Conformer model

One of the earliest significant projects for automatic speech translation is Spoken Language Translator (SLT). The SLT system can switch between English and other languages with an accuracy of roughly 75% and a vocabulary of about 1500 words. The SRI Core Language Engine serves as the foundation for the language processing components, which are specified and essentially built on top of it by employing a mixture of general grammars and techniques that allow for easy customization to specific domains. The process of translating spoken phrases into the target language is known as spoken language translation. This encourages communication between language speakers. The ASR and NMT systems are combined in the speech translation system. A speech recognizer collects the phrase after the speaker speaks. The input is then transformed into a sequence of words using a language's vocabulary and grammar using a sizable corpus of text. The text is translated into another language by the machine translation function. This description of SLT is a crucial source for academics curious about the current state of SLT.