A Practical Evaluation Method for Long-Form Simultaneous Speech-to-Speech Translation
Simultaneous speech-to-speech translation (SimulS2ST) enables real-time cross-lingual communication, but existing evaluation has focused largely on short or pre-segmented speech rather than long-form, continuous input. Prior approaches are difficult to reproduce and make assumptions that do not hold for end-to-end systems. We present a practical evaluation method for long-form SimulS2ST. Given source speech, pre-segmented source transcripts, and reference translations, we run automatic speech recognition (ASR) and forced alignment on the generated target speech to recover token-level timestamps, then apply a sentence-embedding-based aligner to match the target text to its corresponding so...
| Authors | Yulin Xue, Siqi Ouyang, Lei Li |
|---|---|
| Primary category | cs.CL |
| Published | 13 June 2026 |
| Last updated at source | 6 August 2026 |
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