ESPnet-ST-v2 is a revamp of the open-source ESPnet-ST toolkit necessitated by
the broadening interests of the spoken language translation community.
ESPnet-ST-v2 supports 1) offline speech-to-text translation (ST), 2)
simultaneous speech-to-text translation (SST), and 3) offline speech-to-speech
translation (S2ST) -- each task is supported with a wide variety of approaches,
differentiating ESPnet-ST-v2 from other open source spoken language translation
toolkits. This toolkit offers state-of-the-art architectures such as
transducers, hybrid CTC/attention, multi-decoders with searchable
intermediates, time-synchronous blockwise CTC/attention, Translatotron models,
and direct discrete unit models. In this paper, we describe the overall design,
example models for each task, and performance benchmarking behind ESPnet-ST-v2,
which is publicly available at this https URL

ESPnet-ST-v2 是一个开源工具包，它支持离线语音到文本翻译、同声传译以及离线语音到语音翻译等多种任务，提供了包括转录器、混合 CTC/attention、多解码器、时间同步分块 CTC/attention、Translatotron 模型和直接离散单元模型等最先进的架构。