Paper Title : Automatic Speech Recognition And Transliteration

ISSN : 2394-2231
Year of Publication : 2020

10.29126/23942231/IJCT-v7i6p13

Authors:Anjali Kumari, Anil Kumar Gupta , Ankita Kumari, Jayshree Repale,Dr. Rachna Somkunwar ,Komal Ghodke

         



MLA Style: Anjali Kumari, Anil Kumar Gupta , Ankita Kumari, Jayshree Repale,Dr. Rachna Somkunwar ,Komal Ghodke "Automatic Speech Recognition And Transliteration " Volume 7 - Issue 6 November - December,2020 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

APA Style: Anjali Kumari, Anil Kumar Gupta , Ankita Kumari, Jayshree Repale,Dr. Rachna Somkunwar ,Komal Ghodke "Automatic Speech Recognition And Transliteration " Volume 7 - Issue 6 November - December,2020 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

Abstract
Recognition of speech is a long-standing challenge for automatic speech recognition (ASR) systems and translate speech into any target language is the second most challenging task. As we all know, communication is a weapon to conveying our thought to another person or group of person. We have only one way to express or explain our thoughts to the world is communication. Here we present a technique to train acoustic models for a target language using speech data from distinct source languages. In this approach, we are focus on how to recognize speech and translate into end-user understanding language. We centre on difficulties with ASR, basic building blocks of speech processing, feature extraction, speech recognition and performance evaluation, and translation of speech into target language like Text-To-Speech (TTS), Text-To-Text (TTT), Speech-To-Text (STT), Speech-To-Speech (STS).

Reference
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