Publications

2023

2022

2021

1. ELITR Multilingual Live Subtitling: Demo and Strategy

   Ondřej Bojar, Dominik Macháček, Sangeet Sagar, and 16 more authors

   In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, Apr 2021

   Abs

   This paper presents an automatic speech translation system aimed at live subtitling of conference presentations. We describe the overall architecture and key processing components. More importantly, we explain our strategy for building a complex system for end-users from numerous individual components, each of which has been tested only in laboratory conditions. The system is a working prototype that is routinely tested in recognizing English, Czech, and German speech and presenting it translated simultaneously into 42 target languages.

2020

1. ELITR: European Live Translator

   Ondřej Bojar, Dominik Macháček, Sangeet Sagar, and 13 more authors

   In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, Nov 2020

   Abs

   ELITR (European Live Translator) project aims to create a speech translation system for simultaneous subtitling of conferences and online meetings targetting up to 43 languages. The technology is tested by the Supreme Audit Office of the Czech Republic and by alfaview®, a German online conferencing system. Other project goals are to advance document-level and multilingual machine translation, automatic speech recognition, and automatic minuting.

2. Bayesian multilingual topic model for zero-shot cross-lingual topic identification

   Santosh Kesiraju, Sangeet Sagar, Ondřej Glembek, and 2 more authors

   Nov 2020
3. CUNI Neural ASR with Phoneme-Level Intermediate Step for~Non-Native~SLT at IWSLT 2020

   Peter Polák, Sangeet Sagar, Dominik Macháček, and 1 more author

   In Proceedings of the 17th International Conference on Spoken Language Translation, Jul 2020

   Abs

   In this paper, we present our submission to the Non-Native Speech Translation Task for IWSLT 2020. Our main contribution is a proposed speech recognition pipeline that consists of an acoustic model and a phoneme-to-grapheme model. As an intermediate representation, we utilize phonemes. We demonstrate that the proposed pipeline surpasses commercially used automatic speech recognition (ASR) and submit it into the ASR track. We complement this ASR with off-the-shelf MT systems to take part also in the speech translation track.

4. ELITR Non-Native Speech Translation at IWSLT 2020

   Dominik Macháček, Jonáš Kratochvíl, Sangeet Sagar, and 6 more authors

   Jul 2020
5. Removing European Language Barriers with Innovative Machine Translation Technology

   Dario Franceschini, Chiara Canton, Ivan Simonini, and 14 more authors

   In Proceedings of the 1st International Workshop on Language Technology Platforms, May 2020

   Abs

   This paper presents our progress towards deploying a versatile communication platform in the task of highly multilingual live speech translation for conferences and remote meetings live subtitling. The platform has been designed with a focus on very low latency and high flexibility while allowing research prototypes of speech and text processing tools to be easily connected, regardless of where they physically run. We outline our architecture solution and also briefly compare it with the ELG platform. Technical details are provided on the most important components and we summarize the test deployment events we ran so far.

2019

2018

1. Characterization and Classification of Speech Emotion with Spectrograms

   Hemanta Kumar Palo, and Sangeet Sagar

   In 2018 IEEE 8th International Advance Computing Conference (IACC), May 2018
2. Comparison of Neural Network Models for Speech Emotion Recognition

   Hemanta Kumar Palo, and Sangeet Sagar

   In 2018 2nd International Conference on Data Science and Business Analytics (ICDSBA), May 2018