Enhancing Automatic Speech Recognition and Speech Translation Using Google Translate

Author:

Arun Kamaraj S.1,Gautham M.1,Karthikeyan S.1,Parkavi R.1

Affiliation:

1. Thiagarajar College of Engineering, India

Abstract

Communication between speakers of many languages is made possible by cutting-edge technologies like spoken language translation. The process of automatically recognizing, translating speech in real life is still a particularly challenging part of spoken language translation. Because it necessitates a fundamental modification of both linguistic and non-linguistic attributes, interpreting spoken words directly from one language to another is difficult. Numerous basic modules, like Google Translate and Text-to-Speech, are capable of achieving this. This speech recognition model not only demonstrates technological proficiency, but also offers a helpful platform for those who have hearing challenges. The majority of hearing-impaired people find it difficult to communicate because they rely on lipreading or other specialized treatments and struggle to understand broad information in this modern era. For those who have hearing impairments, speech recognition software would offer a comprehensive long-term answer because live speech-to-text translations will improve their communication skills.

Publisher

IGI Global

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