Jin Sakuma

According to our database, Jin Sakuma authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Conversation-Oriented ASR with Multi-Look-Ahead CBS Architecture.

Huaibo Zhao, Shinya Fujie, Tetsuji Ogawa, Jin Sakuma, Yusuke Kida, Tetsunori Kobayashi

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition.

Jin Sakuma, Tatsuya Komatsu, Robin Scheibler

CoRR, 2022

Response Timing Estimation for Spoken Dialog Systems Based on Syntactic Completeness Prediction.

Jin Sakuma, Shinya Fujie, Tetsunori Kobayashi

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Response Timing Estimation for Spoken Dialog System using Dialog Act Estimation.

Jin Sakuma, Shinya Fujie, Tetsunori Kobayashi

Proceedings of the Interspeech 2022, 2022

2021

Timing Generating Networks: Neural Network Based Precise Turn-Taking Timing Prediction in Multiparty Conversation.

Shinya Fujie, Hayato Katayama, Jin Sakuma, Tetsunori Kobayashi

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020

Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation.

Shoetsu Sato, Jin Sakuma, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa

CoRR, 2020

Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia.

Ikuya Yamada, Akari Asai, Jin Sakuma, Hiroyuki Shindo, Hideaki Takeda, Yoshiyasu Takefuji, Yuji Matsumoto

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Vocabulary Adaptation for Domain Adaptation in Neural Machine Translation.

Shoetsu Sato, Jin Sakuma, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Multilingual Model Using Cross-Task Embedding Projection.

Jin Sakuma, Naoki Yoshinaga

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2017

A Bag of Useful Tricks for Practical Neural Machine Translation: Embedding Layer Initialization and Large Batch Size.

Masato Neishi, Jin Sakuma, Satoshi Tohda, Shonosuke Ishiwatari, Naoki Yoshinaga, Masashi Toyoda

Proceedings of the 4th Workshop on Asian Translation, 2017