The article “Streaming cascade-based speech translation leveraged by a direct segmentation model“, by Javier Iranzo-Sánchez and other MLLP researchers, has been accepted for publication in the 2021 Special Issue of the INNS journal Neural Networks.
The articles “Towards simultaneous machine interpretation” and “Europarl-ASR: A Large Corpus of Parliamentary Debates for Streaming ASR Benchmarking and Speech Data Filtering/Verbatimization“, by Alejandro Pérez González de Martos, Gonçal Garcés Díaz-Munío and other MLLP researchers, have been accepted for publication at the ISCA’s Interspeech 2021 conference (CORE A).
The MLLP research group of VRAIN-Universitat Politècnica de València have obtained the first place in the IberSpeech-RTVE 2020 TV Speech-to-Text Challenge, repeating their 2018 victory. This consolidates UPV-VRAIN-MLLP technology as the best in Spain and among the best in the world for live automatic subtitling of TV and broadcast contents.
The article “Direct Segmentation Models for Streaming Speech Translation”, by Javier Iranzo and other MLLP researchers, has been accepted for publication at the ACL’s EMNLP 2020 conference (CORE A).