End-to-End Simultaneous Translation System for IWSLT2020 Using Modality Agnostic Meta-Learning
In this paper, we describe end-to-end simultaneous speech-to-text and text-to-text translation systems submitted to IWSLT2020 online translation challenge. The systems are built by adding wait-k and meta-learning approaches to the Transformer architecture. The systems are evaluated on different latency regimes. The simultaneous text-to-text translation achieved a BLEU score of 26.38 compared to the competition baseline score of 14.17 on the low latency regime (Average latency {\mbox{$\leq$}} 3). The simultaneous speech-to-text system improves the BLEU score by 7.7 points over the competition baseline for the low latency regime (Average Latency {\mbox{$\leq$}} 1000).
Code (0)
등록된 구현이 없습니다.
Tasks
Meta-LearningSpeech-to-TextTranslationMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
End-to-End Offline Speech Translation System for IWSLT 2020 using Modality Agnostic Meta-Learning
In this paper, we describe the system submitted to the IWSLT 2020 Offline Speech Translation Task. We adopt the Transformer architecture coupled with the meta-learning approach to build our end-to-end Speech-to-Text Tran…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Data AugmentationMachine Translation+6CMU's IWSLT 2024 Simultaneous Speech Translation System
This paper describes CMU's submission to the IWSLT 2024 Simultaneous Speech Translation (SST) task for translating English speech to German text in a streaming manner. Our end-to-end speech-to-text (ST) system integrates…
DecoderSpeech-to-TextTranslationNAIST English-to-Japanese Simultaneous Translation System for IWSLT 2021 Simultaneous Text-to-text Task
This paper describes NAIST’s system for the English-to-Japanese Simultaneous Text-to-text Translation Task in IWSLT 2021 Evaluation Campaign. Our primary submission is based on wait-k neural machine translation with sequ…
Knowledge DistillationMachine TranslationTranslationCUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022
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. I…
TranslationNAIST Simultaneous Speech-to-Text Translation System for IWSLT 2022
This paper describes NAIST’s simultaneous speech translation systems developed for IWSLT 2022 Evaluation Campaign. We participated the speech-to-speech track for English-to-German and English-to-Japanese. Our primary sub…
SegmentationSimultaneous Speech-to-Text TranslationSpeech-to-TextSpeech-to-Text Translation+1