Takashi Maekaku - Yahoo! JAPAN R&D - Yahoo Japan Corporation

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

CONFERENCE (INTERNATIONAL)
End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation: Xuankai Chang (Carnegie Mellon University), Takashi Maekaku, Yuya Fujita, Shinji Watanabe (Carnegie Mellon University); The 23rd Annual Conference of the International Speech Communication Association; September 19, 2022

CONFERENCE (INTERNATIONAL)
An Exploration of Hubert with Large Number of Cluster Units and Model Assessment Using Bayesian Information Criterion: Takashi Maekaku, Xuankai Chang (Carnegie Mellon University), Yuya Fujita, Shinji Watanabe (Carnegie Mellon University); The International Conference on Acoustics, Speech, & Signal Processing 2022; May 10, 2022

OTHERS (INTERNATIONAL)
End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation: Xuankai Chang (Carnegie Mellon University), Takashi Maekaku, Yuya Fujita, Shinji Watanabe (Carnegie Mellon University); arXiv.org; April 01, 2022

WORKSHOP (INTERNATIONAL)
An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition: Xuankai Chang (Carnegie Mellon University), Takashi Maekaku, Pengcheng Guo (Northwestern Polytechnical University), Jing Shi (Institute of Automation, Chinese Academy of Sciences), Yen, Aswin Shanmugam Subramanian (Johns Hopkins University), Tianzi Wang (Johns Hopkins University), Shu, Yu Tsao (Academia Sinica), Hung, Shinji Watanabe (Carnegie Mellon University); IEEE Automatic Speech Recognition and Understanding Workshop 2021; December 15, 2021

CONFERENCE (DOMESTIC)
Conformer CPCとDeep Cluster を用いたゼロリソース言語のための表現学習: 前角高史, Xuankai Chang (カーネギーメロン大学), 藤田悠哉, Li-Wei Chen (カーネギーメロン大学), 渡部晋治(カーネギーメロン大学), Alexander Rudnicky (カーネギーメロン大学); 日本音響学会2021年秋季研究発表会; September 08, 2021

CONFERENCE (INTERNATIONAL)
Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021: Takashi Maekaku, Xuankai Chang (Carnegie Mellon University), Yuya Fujita, Li, Shinji Watanabe (Carnegie Mellon University), Alexander Rudnicky (Carnegie Mellon University); INTERSPEECH 2021; August 30, 2021

CONFERENCE (INTERNATIONAL)
Simultaneous Detection and Localization of a Wake-Up Word using Multi-Task Learning of the Duration and Endpoint: Takashi Maekaku, Yusuke Kida, Akihiko Sugiyama; The 20th Annual Conference of the International Speech Communication Association; September 19, 2019

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