Takashi Maekaku - LY Corporation R&D

OTHERS (INTERNATIONAL)
LV-CTC: Non-autoregressive ASR with CTC and latent variable models: Yuya Fujita, Shinji Watanabe (Carnegie Mellon Univ.), Xuankai Chang (Carnegie Mellon Univ.), Takashi Maekaku; arXiv.org; March 28, 2024

CONFERENCE (INTERNATIONAL)
Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study: Xuankai Chang (Carnegie Mellon University), Brian Yan (Carnegie Mellon University), Kwanghee Choi (Carnegie Mellon University), Jee-Weon Jung (Carnegie Mellon University), Yichen Lu (Carnegie Mellon University), Soumi Maiti (Carnegie Mellon University), Roshan Sharma (Carnegie Mellon University), Jiatong Shi (Carnegie Mellon University), Jinchuan Tian (Carnegie Mellon University), Shinji Watanabe (Carnegie Mellon University), Yuya Fujita, Takashi Maekaku, Pengcheng Guo (Northwestern Polytechnical University), Yao-Fei Cheng (University of Washington), Pavel Denisov (University of Stuttgart), Kohei Saijo (Waseda University), Hsiu-Hsuan Wang (National Taiwan University); 2024 IEEE International Conference on Acoustics, Speech and Signal Processing; March 20, 2024

CONFERENCE (INTERNATIONAL)
Hubertopic: Enhancing Semantic Representation of Hubert Through Self-Supervision Utilizing Topic Model: Takashi Maekaku, Jiatong Shi (Carnegie Mellon University), Xuankai Chang (Carnegie Mellon University), Yuya Fujita, Shinji Watanabe (Carnegie Mellon University); 2024 IEEE International Conference on Acoustics, Speech and Signal Processing; March 20, 2024

CONFERENCE (INTERNATIONAL)
LV-CTC: Non-autoregressive ASR with CTC and Latent Variable Models: Yuya Fujita, Shinji Watanabe (Carnegie Mellon Univ.), Xuankai Chang (Carnegie Mellon Univ.), Takashi Maekaku; The 2023 IEEE Workshop on Automatic Speech Recognition and Understanding; December 16, 2023

OTHERS (INTERNATIONAL)
HuBERTopic: Enhancing Semantic Representation of HuBERT through Self-supervision Utilizing Topic Model: Takashi Maekaku, Jiatong Shi (Carnegie Mellon University), Xuankai Chang (Carnegie Mellon University), Yuya Fujita, Shinji Watanabe (Carnegie Mellon University); arXiv; October 09, 2023

CONFERENCE (INTERNATIONAL)
Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning: Xuankai Chang (Carnegie Mellon University), Brian Yan (Carnegie Mellon University), Yuya Fujita, Takashi Maekaku, Shinji Watanabe (Carnegie Mellon University); The 24th Annual Conference of the International Speech Communication Association; August 20, 2023

CONFERENCE (INTERNATIONAL)
Fully Unsupervised Topic Clustering of Unlabelled Spoken Audio Using Self-Supervised Representation Learning and Topic Model: Takashi Maekaku, Yuya Fujita, Xuankai Chang (Carnegie Mellon University), Shinji Watanabe (Carnegie Mellon University); The International Conference on Acoustics, Speech, & Signal Processing 2023; June 07, 2023

OTHERS (INTERNATIONAL)
Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning: Xuankai Chang (Carnegie Mellon University), Brian Yan (Carnegie Mellon University), Yuya Fujita, Takashi Maekaku, Shinji Watanabe (Carnegie Mellon University); arXiv; May 29, 2023

CONFERENCE (DOMESTIC)
Transformerを用いた音声認識モデルにおける事前分布を用いた注意重みの平滑化の検討: 前角高史, 藤田悠哉, Yifang Peng (Carnegie Mellon University), 渡部晋治 (Carnegie Mellon University); 日本音響学会2023年春季研究発表会; March 16, 2023

CONFERENCE (INTERNATIONAL)
Attention Weight Smoothing Using Prior Distributions for Transformer-Based End-to-End ASR: Takashi Maekaku, Yuya Fujita, Yifan Peng (Carnegie Mellon University), Shinji Watanabe (Carnegie Mellon University); The 23rd Annual Conference of the International Speech Communication Association; September 19, 2022

LY Corporation R&D