NeurST is an open-source toolkit for neural speech translation developed by ByteDance AI Lab . The toolkit mainly focuses on end-to-end speech translation, which is easy to use, modify, and extend to advanced speech translation research and products. NeurST aims at facilitating the speech translation research for NLP researchers and provides a complete setup for speech translation benchmarks, including feature extraction, data preprocessing, distributed training, and evaluation. Moreover, The toolkit implements several major architectures for end-to-end speech translation. It shows experimental results for different benchmark datasets, which can be regarded as reliable baselines for future research. The toolkit is publicly available  at URL
NeurST is an open-source toolkit for neural speech translation . The toolkit mainly focuses on end-to-end speech translation, which is easy to use, modify, and extend to advanced speech translation research and products. NeurST aims at facilitating the speech translation research for NLP researchers and building reliable benchmarks for this field. It provides step-by-step recipes for feature extraction, data preprocessing, distributed training, and evaluation. In this paper, we will introduce the framework design of NeurST and show experimental results for different benchmark datasets, which can be regarded as reliable baselines for future research. The toolkit is publicly available at URL and we will continuously update the performance of NeurST with other counterparts and studies at URL
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developed by ByteDance AI Lab
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provides a complete setup for speech translation benchmarks, including
building reliable benchmarks for this field. It provides step-by-step recipes for
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Moreover, The toolkit implements several major architectures for end-to-end speech translation. It shows
In this paper, we will introduce the framework design of NeurST and show
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at URL and we will continuously update the performance of NeurST with other counterparts and studies