MLLP-VRAIN UPV systems for the IWSLT 2022 Simultaneous Speech Translation and Speech-to-Speech Translation tasks

Javier Iranzo-Sánchez, Javier Jorge Cano, Alejandro Pérez-González-de-Martos, Adrián Giménez Pastor, Gonçal Garcés Díaz-Munío, Pau Baquero-Arnal, Joan Albert Silvestre-Cerdà, Jorge Civera Saiz, Albert Sanchis, Alfons Juan

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.
Anthology ID:
2022.iwslt-1.22
Volume:
Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
Month:
May
Year:
2022
Address:
Dublin, Ireland (in-person and online)
Editors:
Elizabeth Salesky, Marcello Federico, Marta Costa-jussà
Venue:
IWSLT
SIG:
SIGSLT
Publisher:
Association for Computational Linguistics
Note:
Pages:
255–264
Language:
URL:
https://aclanthology.org/2022.iwslt-1.22
DOI:
10.18653/v1/2022.iwslt-1.22
Bibkey:
Cite (ACL):
Javier Iranzo-Sánchez, Javier Jorge Cano, Alejandro Pérez-González-de-Martos, Adrián Giménez Pastor, Gonçal Garcés Díaz-Munío, Pau Baquero-Arnal, Joan Albert Silvestre-Cerdà, Jorge Civera Saiz, Albert Sanchis, and Alfons Juan. 2022. MLLP-VRAIN UPV systems for the IWSLT 2022 Simultaneous Speech Translation and Speech-to-Speech Translation tasks. In Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022), pages 255–264, Dublin, Ireland (in-person and online). Association for Computational Linguistics.
Cite (Informal):
MLLP-VRAIN UPV systems for the IWSLT 2022 Simultaneous Speech Translation and Speech-to-Speech Translation tasks (Iranzo-Sánchez et al., IWSLT 2022)
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PDF:
https://preview.aclanthology.org/nschneid-patch-2/2022.iwslt-1.22.pdf
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