CFM uses unstable predictions via contrastive learning to improve SST quality on 3 decision policies and 8 languages in MuST-C v1.0.
Offline Results We compare our reproduced offline ST model with the baseline model [13], STEMM [23], and ESPnet-ST [24], which are also trained on the MuST-C v1.0 dataset
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Contrastive Feedback Mechanism for Simultaneous Speech Translation
CFM uses unstable predictions via contrastive learning to improve SST quality on 3 decision policies and 8 languages in MuST-C v1.0.