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Found 8 papers, 2 papers with code
NAIST 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.
On Knowledge Distillation for Translating Erroneous Speech Transcriptions
Recent studies argue that knowledge distillation is promising for speech translation (ST) using end-to-end models.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
NAIST Simultaneous Speech-to-Text Translation System for IWSLT 2022
This paper describes NAIST’s simultaneous speech translation systems developed for IWSLT 2022 Evaluation Campaign.
Tagged End-to-End Simultaneous Speech Translation Training using Simultaneous Interpretation Data
In this paper, we propose an effective way to train a SimulST model using mixed data of SI and offline.
Improving Speech Translation Accuracy and Time Efficiency with Fine-tuned wav2vec 2.0-based Speech Segmentation
In this study, we extended SHAS to improve ST translation accuracy and efficiency by splitting speech into shorter segments that correspond to sentences.
NAIST-SIC-Aligned: an Aligned English-Japanese Simultaneous Interpretation Corpus
Research has been limited due to the lack of a large-scale training corpus.
Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation
We also propose a hybrid method that combines VAD and the above speech segmentation method.
NAIST's Machine Translation Systems for IWSLT 2020 Conversational Speech Translation Task
This paper describes NAIST{'}s NMT system submitted to the IWSLT 2020 conversational speech translation task.
