Work

CUNI-NL@IWSLT 2025: End-to-end Offline Speech Translation and Instruction Following with LLMs

Year: 2025

Type: conference-paper

Abstract: This paper describes the CUNI-NL team's submission to the IWSLT 2025 Offline Speech Translation and Instruction Following tasks, focusing on transcribing the English audio and translating the English audio to German text.Our systems follow the end-to-end approach, where each system consists of a pretrained, frozen speech encoder, along with a mediumsized large language model fine-tuned with LoRA on three tasks: 1) transcribing the English audio; 2) directly translating the English audio to German text; and 3) a combination of the above two tasks, i.e., simultaneously transcribing the English audio and translating the English audio to German text.

Source: International Conference on Spoken Language Translation (IWSLT)

DOI: 10.18653/v1/2025.iwslt-1.28

Authors: Nam Luu, Ondřej Bojar

Institution: Charles University

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4412944370

FWCI:

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