12 citations · 14 across the 5 of their papers we have counts for
14 papers · 1 filter
End-to-End Speech Translation for Code Switched Speech
Orion Weller, Matthias Sperber, Telmo Pires +4
Code switching (CS) refers to the phenomenon of interchangeably using words and phrases from different languages. CS can pose significant accuracy challenges to NLP, due to the oft…
Streaming Models for Joint Speech Recognition and Translation
Orion Weller, Matthias Sperber, Christian Gollan +1
Using end-to-end models for speech translation (ST) has increasingly been the focus of the ST community. These models condense the previously cascaded systems by directly convertin…
Consistent Transcription and Translation of Speech
Matthias Sperber, Hendra Setiawan, Christian Gollan +2
The conventional paradigm in speech translation starts with a speech recognition step to generate transcripts, followed by a translation step with the automatic transcripts as inpu…
Variational Neural Machine Translation with Normalizing Flows
Hendra Setiawan, Matthias Sperber, Udhay Nallasamy +1
Variational Neural Machine Translation (VNMT) is an attractive framework for modeling the generation of target translations, conditioned not only on the source sentence but also on…
Speech Translation and the End-to-End Promise: Taking Stock of Where We Are
Matthias Sperber, Matthias Paulik
Over its three decade history, speech translation has experienced several shifts in its primary research themes; moving from loosely coupled cascades of speech recognition and mach…
Self-Attentional Models for Lattice Inputs
Matthias Sperber, Graham Neubig, Ngoc-Quan Pham +1
Lattices are an efficient and effective method to encode ambiguity of upstream systems in natural language processing tasks, for example to compactly capture multiple speech recogn…