Hierarchical Policy Optimization post-trains LLMs for simultaneous speech translation on imperfect data, yielding over +7 COMET and +1.25 MetricX improvements at 1.5-second latency on English-to-Chinese/German/Japanese tasks.
In2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pages 1–8
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Hierarchical Policy Optimization for Simultaneous Translation of Unbounded Speech
Hierarchical Policy Optimization post-trains LLMs for simultaneous speech translation on imperfect data, yielding over +7 COMET and +1.25 MetricX improvements at 1.5-second latency on English-to-Chinese/German/Japanese tasks.