CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022

04/12/2022
by   Peter Polák, et al.
0

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 the need to modify the original model. In our experiments, we show that our onlinization algorithm is almost on par with the offline setting while being 3x faster than offline in terms of latency on the test set. We make our system publicly available.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/16/2021

The Volctrans Neural Speech Translation System for IWSLT 2021

This paper describes the systems submitted to IWSLT 2021 by the Volctran...
research
04/08/2022

Does Simultaneous Speech Translation need Simultaneous Models?

In simultaneous speech translation (SimulST), finding the best trade-off...
research
06/01/2023

Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models

Recent work in speech-to-speech translation (S2ST) has focused primarily...
research
06/14/2023

Tagged End-to-End Simultaneous Speech Translation Training using Simultaneous Interpretation Data

Simultaneous speech translation (SimulST) translates partial speech inpu...
research
09/18/2020

Presenting Simultaneous Translation in Limited Space

Some methods of automatic simultaneous translation of a long-form speech...
research
10/13/2021

Decision Attentive Regularization to Improve Simultaneous Speech Translation Systems

Simultaneous Speech-to-text Translation (SimulST) systems translate sour...
research
04/01/2019

Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation

Simultaneous interpretation, the translation of speech from one language...

Please sign up or login with your details

Forgot password? Click here to reset