activity
20232026
most citedFindings of the IWSLT 2024 Evaluation Campaign

5 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Controlling Backchannels in Streamable Full-duplex Models

Maike Züfle, Peter Polák, Sefik Emre Eskimez +3

Backchannels, brief acknowledgements like "uh-huh" produced while the other party may still be talking, are central to natural conversation, but full-duplex spoken dialogue models…

cs.CL2024

How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?

Sara Papi, Peter Polak, Ondřej Bojar +1

Simultaneous speech-to-text translation (SimulST) translates source-language speech into target-language text concurrently with the speaker's speech, ensuring low latency for bette…

cs.CL2024★ 5 cited

Findings of the IWSLT 2024 Evaluation Campaign

Ibrahim Said Ahmad, Antonios Anastasopoulos, Ondřej Bojar +42

This paper reports on the shared tasks organized by the 21st IWSLT Conference. The shared tasks address 7 scientific challenges in spoken language translation: simultaneous and off…

cs.CL2024

Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation

Matthias Sperber, Ondřej Bojar, Barry Haddow +8

Human evaluation is a critical component in machine translation system development and has received much attention in text translation research. However, little prior work exists o…

cs.CL2023★ 4 cited

Incremental Blockwise Beam Search for Simultaneous Speech Translation with Controllable Quality-Latency Tradeoff

Peter Polák, Brian Yan, Shinji Watanabe +2

Blockwise self-attentional encoder models have recently emerged as one promising end-to-end approach to simultaneous speech translation. These models employ a blockwise beam search…