2020
ACL
ACL 2020
DiDi Labs’ End-to-end System for the IWSLT 2020 Offline Speech TranslationTask
Abstract
AbstractThis paper describes the system that was submitted by DiDi Labs to the offline speech translation task for IWSLT 2020. We trained an end-to-end system that translates audio from English TED talks to German text, without producing intermediate English text. We use the S-Transformer architecture and train using the MuSTC dataset. We also describe several additional experiments that were attempted, but did not yield improved results.
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Natural Language Processing and Speech & Audio
🧭
Keyword Pioneer
— audio translation
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio