42 citations · 56 across the 23 of their papers we have counts for
9 papers · 1 filter
Average Token Delay: A Duration-aware Latency Metric for Simultaneous Translation
Yasumasa Kano, Katsuhito Sudoh, Satoshi Nakamura
Simultaneous translation is a task in which the translation begins before the end of an input speech segment. Its evaluation should be conducted based on latency in addition to qua…
Tagged End-to-End Simultaneous Speech Translation Training using Simultaneous Interpretation Data
Yuka Ko, Ryo Fukuda, Yuta Nishikawa +3
Simultaneous speech translation (SimulST) translates partial speech inputs incrementally. Although the monotonic correspondence between input and output is preferable for smaller l…
Inter-connection: Effective Connection between Pre-trained Encoder and Decoder for Speech Translation
Yuta Nishikawa, Satoshi Nakamura
In end-to-end speech translation, speech and text pre-trained models improve translation quality. Recently proposed models simply connect the pre-trained models of speech and text…
Improving Speech Translation Accuracy and Time Efficiency with Fine-tuned wav2vec 2.0-based Speech Segmentation
Ryo Fukuda, Katsuhito Sudoh, Satoshi Nakamura
Speech translation (ST) automatically converts utterances in a source language into text in another language. Splitting continuous speech into shorter segments, known as speech seg…
NAIST-SIC-Aligned: an Aligned English-Japanese Simultaneous Interpretation Corpus
Jinming Zhao, Yuka Ko, Kosuke Doi +3
It remains a question that how simultaneous interpretation (SI) data affects simultaneous machine translation (SiMT). Research has been limited due to the lack of a large-scale tra…
Modeling Multiple User Interests using Hierarchical Knowledge for Conversational Recommender System
Yuka Okuda, Katsuhito Sudoh, Seitaro Shinagawa +1
A conversational recommender system (CRS) is a practical application for item recommendation through natural language conversation. Such a system estimates user interests for appro…
Evaluating the Robustness of Discrete Prompts
Yoichi Ishibashi, Danushka Bollegala, Katsuhito Sudoh +1
Discrete prompts have been used for fine-tuning Pre-trained Language Models for diverse NLP tasks. In particular, automatic methods that generate discrete prompts from a small set…
Whats New? Identifying the Unfolding of New Events in Narratives
Seyed Mahed Mousavi, Shohei Tanaka, Gabriel Roccabruna +3
Narratives include a rich source of events unfolding over time and context. Automatic understanding of these events provides a summarised comprehension of the narrative for further…
SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain
Heli Qi, Sashi Novitasari, Andros Tjandra +2
This paper introduces SpeeChain, an open-source Pytorch-based toolkit designed to develop the machine speech chain for large-scale use. This first release focuses on the TTS-to-ASR…