Researchers propose hierarchical policy optimization for simultaneous speech translation of unbounded speech. The method addresses real-time translation challenges where the endpoint of speech is unknown, using reinforcement learning to manage latency-accuracy trade-offs.
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Hierarchical Policy Optimization for Simultaneous Translation of Unbounded Speech
Researchers solve real-time simultaneous speech translation using hierarchical reinforcement learning to optimize the latency-accuracy tradeoff when speech length is unknown.
Friday, April 24, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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