Log In Sign Up

The Volctrans Neural Speech Translation System for IWSLT 2021

by   Chengqi Zhao, et al.

This paper describes the systems submitted to IWSLT 2021 by the Volctrans team. We participate in the offline speech translation and text-to-text simultaneous translation tracks. For offline speech translation, our best end-to-end model achieves 8.1 BLEU improvements over the benchmark on the MuST-C test set and is even approaching the results of a strong cascade solution. For text-to-text simultaneous translation, we explore the best practice to optimize the wait-k model. As a result, our final submitted systems exceed the benchmark at around 7 BLEU on the same latency regime. We will publish our code and model to facilitate both future research works and industrial applications.


page 1

page 2

page 3

page 4


ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020

This paper describes the ON-TRAC Consortium translation systems develope...

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

In this paper, we describe our submission to the Simultaneous Speech Tra...

It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Data

Most existing simultaneous machine translation (SiMT) systems are traine...

A Holistic Cascade System, benchmark, and Human Evaluation Protocol for Expressive Speech-to-Speech Translation

Expressive speech-to-speech translation (S2ST) aims to transfer prosodic...

UPC's Speech Translation System for IWSLT 2021

This paper describes the submission to the IWSLT 2021 offline speech tra...

Decision Attentive Regularization to Improve Simultaneous Speech Translation Systems

Simultaneous Speech-to-text Translation (SimulST) systems translate sour...

SimulMT to SimulST: Adapting Simultaneous Text Translation to End-to-End Simultaneous Speech Translation

Simultaneous text translation and end-to-end speech translation have rec...