International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Offline Speech Translation Systems: A Review of Opportunities, Technologies, and Future Prospects

Author(s) Rashvin Vij
Country India
Abstract Offline speech translation systems have become increasingly significant as global mobility, emergency response operations, and privacy-sensitive communication continue to expand. This paper reviews the development of speech translation technologies, tracing the shift from early cloud-dependent architectures to modern, on-device neural systems integrating automatic speech recognition (ASR), machine translation (MT), and text-to-speech (TTS). Drawing from recent research, field applications, and industry innovations, the review examines the technical foundations enabling offline translation, including model compression, quantization, and hardware acceleration, as well as emerging approaches such as semantic caching and vector-database-assisted adaptation. Application contexts across healthcare, disaster response, education, security, and travel highlight the advantages of offline systems in reliability, privacy protection, and low-latency communication. The review concludes by outlining ongoing challenges, such as limited language coverage, accuracy gaps, and hardware constraints, and identifies future directions for building secure, efficient, and inclusive offline speech translation technologies.
Keywords offline speech translation; on-device AI; automatic speech recognition; neural machine translation; text-to-speech; edge computing; privacy-preserving AI; real-time multilingual communication.
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-20
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62449
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E-ISSN 2582-2160
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