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SimulMT to SimulST: Adapting Simultaneous Text Translation to End-to-End Simultaneous Speech Translation
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Simultaneous text translation and end-to-end speech translation have recently made great progress but little work has combined these tasks together. We investigate how to adapt simultaneous text translation methods such as wait-k and monotonic multihead attention to end-to-end simultaneous speech translation by introducing a pre-decision module. A detailed analysis is provided on the latency-quality trade-offs of combining fixed and flexible pre-decision with fixed and flexible policies. We also design a novel computation-aware latency metric, adapted from Average Lagging.
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Cited by 1 Pith paper
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StreamUni: Achieving Streaming Speech Translation with a Unified Large Speech-Language Model
A unified large speech-language model uses speech chain-of-thought to jointly perform segmentation, generation-policy decisions, and streaming translation.
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