Publications

@inproceedings{Iranzo-Sánchez2026,
title = {MLLP-VRAIN UPV System for the IWSLT 2026 Simultaneous Speech Translation Task},
author = {Jorge Iranzo-Sánchez, Gerard Mas-Mollà, Adrià Gimenez, Jorge Civera Saiz, Albert Sanchis, Alfons Juan},
doi = {10.18653/v1/2026.iwslt-1.24},
year = {2026},
date = {2026-01-01},
booktitle = {Proc. 23rd Intl. Conf. on Spoken Language Translation (IWSLT 2026)},
pages = {212--226},
address = {San Diego (USA)},
abstract = {This work describes the participation of the MLLP-VRAIN research group in the shared task of the IWSLT 2026 Simultaneous Speech Translation track. Our submission utilizes the recently released Parakeet and Qwen 3.5 models to create a robust, cascaded solution for long-form SimulST through the use of adaptive black-box policies. We explore relaxations of these policies to achieve better quality-latency trade-offs. Compared to last year, we participate on all language directions. In addition to this, for the En→De, It, Zh directions we also participate in this year’s new context track employing a combination of ASR word-boosting and a RAG mechanism of offline pre-translated exemplars to guide generation and enrich our system with domain-specific context. Finally, we provide a detailed latency analysis of our system. Compared to last year, results on the MCIF En→De test set shows a substantial quality improvement of +5.82 XCOMET-XL. Our context track processing further improves performance by +1.03.},
keywords = {Cascade System, Context-Augmented SimulST, Simultaneous Speech Translation},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Iranzo-Sánchez2022b,
title = {MLLP-VRAIN UPV systems for the IWSLT 2022 Simultaneous Speech Translation and Speech-to-Speech Translation tasks},
author = {Javier Iranzo-Sánchez and Javier Jorge and Alejandro Pérez-González-de-Martos and Adrià Giménez and Garcés Díaz-Munío, Gonçal V. and Pau Baquero-Arnal and Joan Albert Silvestre-Cerdà and Jorge Civera and Albert Sanchis and Alfons Juan},
doi = {10.18653/v1/2022.iwslt-1.22},
year = {2022},
date = {2022-01-01},
booktitle = {Proc. of 19th Intl. Conf. on Spoken Language Translation (IWSLT 2022)},
pages = {255--264},
address = {Dublin (Ireland)},
abstract = {This work describes the participation of the MLLP-VRAIN research group in the two shared tasks of the IWSLT 2022 conference: Simultaneous Speech Translation and Speech-to-Speech Translation. We present our streaming-ready ASR, MT and TTS systems for Speech Translation and Synthesis from English into German. Our submission combines these systems by means of a cascade approach paying special attention to data preparation and decoding for streaming inference.},
keywords = {Simultaneous Speech Translation, speech-to-speech translation},
pubstate = {published},
tppubtype = {inproceedings}
}