ZJU’s IWSLT 2021 Speech Translation System
Lin‐Lin Zhang · 2021
In this paper, we describe Zhejiang University's submission to the IWSLT2021 Multilingual Speech Translation Task.This task focuses on speech translation (ST) research across many non-English source languages.Participants can decide whether to work on constrained systems or unconstrained systems which can use external data.We create both cascaded and end-to-end speech translation constrained systems, using the provided data only.In the cascaded approach, we combine Conformer-based automatic speech recognition (ASR) with the Transformer-based neural machine translation (NMT).Our end-to-end direct speech translation systems use ASR pretrained encoder and multi-task decoders.The submitted systems are ensembled by different cascaded models.