Music relationship visualization based on melody transition using Conditional Divergence for music browsing system. - Takashi Maekaku; Hiroyuki Kasai (ICCE, 2012)

Music relationship visualization based on melody piece transition using conditional divergence. - Takashi Maekaku; Hiroyuki Kasai (IEEE Trans. Consumer Electron., 2012)

Music classification applying Prime form and Interval-Class Vector. - Takashi Maekaku; Hiroyuki Kasai (ICCE, 2013)

Simultaneous Detection and Localization of a Wake-Up Word Using Multi-Task Learning of the Duration and Endpoint. - Takashi Maekaku; Yusuke Kida; Akihiko Sugiyama (INTERSPEECH, 2019)

An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition. - Xuankai Chang; Takashi Maekaku; Pengcheng Guo; Jing Shi 003; Yen-Ju Lu; Aswin Shanmugam Subramanian; Tianzi Wang; Shu-Wen Yang; Yu Tsao 001; Hung-yi Lee; Shinji Watanabe 001 (ASRU, 2021)

Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021. - Takashi Maekaku; Xuankai Chang; Yuya Fujita; Li-Wei Chen; Shinji Watanabe 001; Alexander I. Rudnicky (Interspeech, 2021)

An Exploration of Hubert with Large Number of Cluster Units and Model Assessment Using Bayesian Information Criterion. - Takashi Maekaku; Xuankai Chang; Yuya Fujita; Shinji Watanabe 001 (ICASSP, 2022)

End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation. - Xuankai Chang; Takashi Maekaku; Yuya Fujita; Shinji Watanabe 001 (INTERSPEECH, 2022)

Attention Weight Smoothing Using Prior Distributions for Transformer-Based End-to-End ASR. - Takashi Maekaku; Yuya Fujita; Yifan Peng 003; Shinji Watanabe 001 (INTERSPEECH, 2022)

LV-CTC: Non-Autoregressive ASR With CTC and Latent Variable Models. - Yuya Fujita; Shinji Watanabe 001; Xuankai Chang; Takashi Maekaku (ASRU, 2023)

Fully Unsupervised Topic Clustering of Unlabelled Spoken Audio Using Self-Supervised Representation Learning and Topic Model. - Takashi Maekaku; Yuya Fujita; Xuankai Chang; Shinji Watanabe 001 (ICASSP, 2023)

Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning. - Xuankai Chang; Brian Yan; Yuya Fujita; Takashi Maekaku; Shinji Watanabe 001 (INTERSPEECH, 2023)

Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study. - Xuankai Chang; Brian Yan; Kwanghee Choi; Jee-Weon Jung; Yichen Lu; Soumi Maiti; Roshan S. Sharma; Jiatong Shi; Jinchuan Tian; Shinji Watanabe 001; Yuya Fujita; Takashi Maekaku; et al. (ICASSP, 2024)

Hubertopic: Enhancing Semantic Representation of Hubert Through Self-Supervision Utilizing Topic Model. - Takashi Maekaku; Jiatong Shi; Xuankai Chang; Yuya Fujita; Shinji Watanabe 001 (ICASSP, 2024)

MC-Whisper: Extending Speech Foundation Models to Multichannel Distant Speech Recognition. - Xuankai Chang; Pengcheng Guo; Yuya Fujita; Takashi Maekaku; Shinji Watanabe 001 (IEEE Signal Process. Lett., 2024)

ESPnet-SpeechLM: An Open Speech Language Model Toolkit. - Jinchuan Tian; Jiatong Shi; William Chen; Siddhant Arora; Yoshiki Masuyama; Takashi Maekaku; Yihan Wu; Junyi Peng; Shikhar Bharadwaj; Yiwen Zhao; Samuele Cornell; Yifan Peng 003; et al. (CoRR, 2025)

OpusLM: A Family of Open Unified Speech Language Models. - Jinchuan Tian; William Chen; Yifan Peng 003; Jiatong Shi; Siddhant Arora; Shikhar Bharadwaj; Takashi Maekaku; Yusuke Shinohara; Keita Goto; Xiang Yue; Huck Yang; Shinji Watanabe 001 (CoRR, 2025)