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Found 14 papers, 3 papers with code
ELITR: European Live Translator
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.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Turning Whisper into Real-Time Transcription System
Whisper is one of the recent state-of-the-art multilingual speech recognition and translation models, however, it is not designed for real time transcription.
Robustness of Multi-Source MT to Transcription Errors
Automatic speech translation is sensitive to speech recognition errors, but in a multilingual scenario, the same content may be available in various languages via simultaneous interpreting, dubbing or subtitling.
MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation
There have been several meta-evaluation studies on the correlation between human ratings and offline machine translation (MT) evaluation metrics such as BLEU, chrF2, BertScore and COMET.
Comprehension of Subtitles from Re-Translating Simultaneous Speech Translation
Our results show that the subtitling layout or flicker have a little effect on comprehension, in contrast to machine translation itself and individual competence.
The Reality of Multi-Lingual Machine Translation
Machine translation is for us a prime example of deep learning applications where human skills and learning capabilities are taken as a benchmark that many try to match and surpass.
Lost in Interpreting: Speech Translation from Source or Interpreter?
Interpreters facilitate multi-lingual meetings but the affordable set of languages is often smaller than what is needed.
Presenting Simultaneous Translation in Limited Space
Furthermore, we propose a way how to estimate the overall usability of the combination of automatic translation and subtitling by measuring the quality, latency, and stability on a test set, and propose an improved measure for translation latency.
ELITR Non-Native Speech Translation at IWSLT 2020
This paper is an ELITR system submission for the non-native speech translation task at IWSLT 2020.
Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed
The data manipulation techniques, recommended in previous works, prove ineffective in large data settings.
A Speech Test Set of Practice Business Presentations with Additional Relevant Texts
We present a test corpus of audio recordings and transcriptions of presentations of students' enterprises together with their slides and web-pages.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
CUNI Systems for the Unsupervised News Translation Task in WMT 2019
In this paper we describe the CUNI translation system used for the unsupervised news shared task of the ACL 2019 Fourth Conference on Machine Translation (WMT19).
Morphological and Language-Agnostic Word Segmentation for NMT
The state of the art of handling rich morphology in neural machine translation (NMT) is to break word forms into subword units, so that the overall vocabulary size of these units fits the practical limits given by the NMT model and GPU memory capacity.
