Development Approach Towards English Speech To Marathi Speech Language Translation

Abstract

The increasing demand for real-time language translation in multilingual societies highlights the need for efficient speech translation systems. This research proposes the development of an English-to-Marathi speech translation framework leveraging a dictionary-based dataset to enhance linguistic accuracy and contextual understanding. Marathi, being a morphologically rich language with unique syntactic and semantic structures, poses significant challenges when paired with English, a structurally divergent language. The proposed system will integrate automatic speech recognition (ASR), machine translation (MT), and text-to-speech synthesis (TTS) to achieve seamless speech-to-speech conversion. A dictionary-based dataset will serve as the foundation, enriched with linguistic rules and context-aware mappings to address lexical and syntactic divergences. By incorporating rule-based techniques alongside advanced neural network models, such as sequence-to- sequence transformers and attention mechanisms, the system aims to capture the nuances of Marathi grammar, idiomatic expressions, and gendered verb forms. The hybrid approach will ensure both robustness and adaptability across diverse linguistic inputs. The research will evaluate translation accuracy, fluency, and contextual relevance using metrics such as BLEU and TER. This study aspires to contribute to the growing field of low-resource language translation by enabling effective communication between English and Marathi speakers, thus fostering inclusivity in education, commerce, and digital communication. In the proposed research work the focus will be given to translation of English language video to Marathi language. Considering the strong grammar and variety of word dictionaries of the Marathi language, a strong algorithm based on deep learning techniques is required. Speech to Speech machine translation using deep learning focuses on the language conversion from English to Marathi which allows for seamless communication between people who speak Marathi languages. Speech-to speech translation solves this problem by translating spoken words in real time, allowing people who speak Marathi languages to communicate with one another.