Simultaneous Speech-to-Speech Translation

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (12 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Using Phonemes in cascaded S2S translation pipeline
  22 Apr 2025 1 repository listed
  This paper explores the idea of using phonemes as a textual representation within a conventional multilingual simultaneous speech-to-speech translation pipeline, as opposed to the traditional reliance on text-based…
• High-Fidelity Simultaneous Speech-To-Speech Translation
  5 Feb 2025 1 repository listed
  To do so, we introduce a weakly-supervised method that leverages the perplexity of an off-the-shelf text translation system to identify optimal delays on a per-word basis and create aligned synthetic data.
• A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Speech Translation
  11 Jun 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Simultaneous translation models play a crucial role in facilitating communication.
• StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning
  5 Jun 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  Simultaneous speech-to-speech translation (Simul-S2ST, a.
• Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models
  1 Jun 2023 1 repository listed
  Recent work in speech-to-speech translation (S2ST) has focused primarily on offline settings, where the full input utterance is available before any output is given.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.