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Group Relative Policy Optimisation Improves Multilingual Speech Recognition in Low-Resource Languages

Hu, Tim Wenjie et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-language
Autoregressive encoder-decoder speech recognition models trained with teacher forcing can suffer from exposure bias, limiting their ability to recover from their own prediction errors at inference time. Recent work has shown that reinforcement learning with Group Relative Policy Optimisation (GRPO)
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