42 citations · 122 across the 39 of their papers we have counts for
6 papers · 1 filter
Code-Switching without Switching: Language Agnostic End-to-End Speech Translation
Christian Huber, Enes Yavuz Ugan, Alexander Waibel
We propose a) a Language Agnostic end-to-end Speech Translation model (LAST), and b) a data augmentation strategy to increase code-switching (CS) performance. With increasing globa…
Towards continually learning new languages
Ngoc-Quan Pham, Jan Niehues, Alexander Waibel
Multilingual speech recognition with neural networks is often implemented with batch-learning, when all of the languages are available before training. An ability to add new langua…
Language-agnostic Code-Switching in Sequence-To-Sequence Speech Recognition
Enes Yavuz Ugan, Christian Huber, Juan Hussain +1
Code-Switching (CS) is referred to the phenomenon of alternately using words and phrases from different languages. While today's neural end-to-end (E2E) models deliver state-of-the…
Adaptive multilingual speech recognition with pretrained models
Ngoc-Quan Pham, Alex Waibel, Jan Niehues
Multilingual speech recognition with supervised learning has achieved great results as reflected in recent research. With the development of pretraining methods on audio and text d…
CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022
Peter Polák, Ngoc-Quan Ngoc, Tuan-Nam Nguyen +5
In this paper, we describe our submission to the Simultaneous Speech Translation at IWSLT 2022. We explore strategies to utilize an offline model in a simultaneous setting without…
Short-Term Word-Learning in a Dynamically Changing Environment
Christian Huber, Rishu Kumar, Ondřej Bojar +1
Neural sequence-to-sequence automatic speech recognition (ASR) systems are in principle open vocabulary systems, when using appropriate modeling units. In practice, however, they o…