The MLLP’s candidature to European Parliament call for tenders EP/TRAD/2019/LSTT “Live Speech to Text and Machine Translation Tool for 24 Languages” obtained a strong rating and was ranked sixth, close to the five shortlisted candidatures by large EU and US tech consortia and organizations.
This year, the MLLP has participated in the 2021 edition of the Blizzard Challenge, with the neural text-to-speech synthesis system proposed by the MLLP obtaining some of the best results in the challenge.
The article “Towards cross-lingual voice cloning in higher education“, by Alejandro Pérez González de Martos and other MLLP researchers, has been accepted for publication in Volume 105 of the IFAC’s journal Engineering Applications of Artificial Intelligence.
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).