mlsanityData to 7 Oct 2026

ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit

arXiv 2304.04596 ↗First posted 10 Apr 2023cs.SD cs.CL eess.AScited by 10

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Abstract (arXiv)

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 https://github.com/espnet/espnet.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 45 of its 64 references that are in the map. First posted on arXiv 10 Apr 2023.

Builds on

45 of 64 references.

References · 45

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33 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 5; 2024: 3; 2025: 1; 2026: 1.

10 papers.