all AI news
Attempt Towards Stress Transfer in Speech-to-Speech Machine Translation
March 8, 2024, 5:47 a.m. | Sai Akarsh, Vamshi Raghusimha, Anindita Mondal, Anil Vuppala
cs.CL updates on arXiv.org arxiv.org
Abstract: The language diversity in India's education sector poses a significant challenge, hindering inclusivity. Despite the democratization of knowledge through online educational content, the dominance of English, as the internet's lingua franca, limits accessibility, emphasizing the crucial need for translation into Indian languages. Despite existing Speech-to-Speech Machine Translation (SSMT) technologies, the lack of intonation in these systems gives monotonous translations, leading to a loss of audience interest and disengagement from the content. To address this, our …
abstract accessibility arxiv challenge cs.cl cs.sd democratization diversity education educational eess.as english inclusivity india indian indian languages internet knowledge language languages lingua franca machine machine translation sector speech stress through transfer translation type
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Lead Data Modeler
@ Sherwin-Williams | Cleveland, OH, United States