AI RESEARCH
One Voice, Many Tongues: Cross-Lingual Voice Cloning for Scientific Speech
arXiv CS.CL
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ArXi:2604.26136v1 Announce Type: cross Preserving a speaker's voice identity while generating speech in a different language remains a fundamental challenge in spoken language technology, particularly in specialized domains such as scientific communication. In this paper, we address this challenge through our system submission to the International Conference on Spoken Language Translation (IWSLT 2026), the Cross-Lingual Voice Cloning shared task.