Speaker Adversarial Training of DPGMM-Based Feature Extractor for Zero-Resource Languages. - Yosuke Higuchi; Naohiro Tawara; Tetsunori Kobayashi; Tetsuji Ogawa (INTERSPEECH, 2019)

Noise-robust Attention Learning for End-to-End Speech Recognition. - Yosuke Higuchi; Naohiro Tawara; Atsunori Ogawa; Tomoharu Iwata; Tetsunori Kobayashi; Tetsuji Ogawa (EUSIPCO, 2020)

Speaker Embeddings Incorporating Acoustic Conditions for Diarization. - Yosuke Higuchi; Masayuki Suzuki; Gakuto Kurata (ICASSP, 2020)

Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict. - Yosuke Higuchi; Shinji Watanabe 001; Nanxin Chen; Tetsuji Ogawa; Tetsunori Kobayashi (INTERSPEECH, 2020)

The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans. - Shinji Watanabe 001; Florian Boyer; Xuankai Chang; Pengcheng Guo; Tomoki Hayashi; Yosuke Higuchi; Takaaki Hori; Wen-Chin Huang; Hirofumi Inaguma; Naoyuki Kamo; Shigeki Karita; Chenda Li; et al. (CoRR, 2020)

An Investigation of Enhancing CTC Model for Triggered Attention-based Streaming ASR. - Huaibo Zhao; Yosuke Higuchi; Tetsuji Ogawa; Tetsunori Kobayashi (APSIPA ASC, 2021)

A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation. - Yosuke Higuchi; Nanxin Chen; Yuya Fujita; Hirofumi Inaguma; Tatsuya Komatsu; Jaesong Lee; Jumon Nozaki; Tianzi Wang; Shinji Watanabe 001 (ASRU, 2021)

Recent Developments on Espnet Toolkit Boosted By Conformer. - Pengcheng Guo; Florian Boyer; Xuankai Chang; Tomoki Hayashi; Yosuke Higuchi; Hirofumi Inaguma; Naoyuki Kamo; Chenda Li; Daniel Garcia-Romero; Jiatong Shi; Jing Shi 003; Shinji Watanabe 001; et al. (ICASSP, 2021)

Improved Mask-CTC for Non-Autoregressive End-to-End ASR. - Yosuke Higuchi; Hirofumi Inaguma; Shinji Watanabe 001; Tetsuji Ogawa; Tetsunori Kobayashi (ICASSP, 2021)

ORTHROS: non-autoregressive end-to-end speech translation With dual-decoder. - Hirofumi Inaguma; Yosuke Higuchi; Kevin Duh; Tatsuya Kawahara; Shinji Watanabe 001 (ICASSP, 2021)

Momentum Pseudo-Labeling for Semi-Supervised Speech Recognition. - Yosuke Higuchi; Niko Moritz; Jonathan Le Roux; Takaaki Hori (Interspeech, 2021)

Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring. - Hirofumi Inaguma; Yosuke Higuchi; Kevin Duh; Tatsuya Kawahara; Shinji Watanabe 001 (CoRR, 2021)

BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model. - Yosuke Higuchi; Brian Yan; Siddhant Arora; Tetsuji Ogawa; Tetsunori Kobayashi; Shinji Watanabe 001 (EMNLP (Findings), 2022)

Improving Non-Autoregressive End-to-End Speech Recognition with Pre-Trained Acoustic and Language Models. - Keqi Deng; Zehui Yang; Shinji Watanabe 001; Yosuke Higuchi; Gaofeng Cheng; Pengyuan Zhang (ICASSP, 2022)

Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units. - Yosuke Higuchi; Keita Karube; Tetsuji Ogawa; Tetsunori Kobayashi (ICASSP, 2022)

Advancing Momentum Pseudo-Labeling with Conformer and Initialization Strategy. - Yosuke Higuchi; Niko Moritz; Jonathan Le Roux; Takaaki Hori (ICASSP, 2022)

A Study on the Integration of Pre-Trained SSL, ASR, LM and SLU Models for Spoken Language Understanding. - Yifan Peng 003; Siddhant Arora; Yosuke Higuchi; Yushi Ueda; Sujay Kumar; Karthik Ganesan 003; Siddharth Dalmia; Xuankai Chang; Shinji Watanabe 001 (SLT, 2022)

Momentum Pseudo-Labeling: Semi-Supervised ASR With Continuously Improving Pseudo-Labels. - Yosuke Higuchi; Niko Moritz; Jonathan Le Roux; Takaaki Hori (IEEE J. Sel. Top. Signal Process., 2022)

Mask-Conformer: Augmenting Conformer with Mask-Predict Decoder. - Yosuke Higuchi; Andrew Rosenberg; Yuan Wang; Murali Karthick Baskar; Bhuvana Ramabhadran (ASRU, 2023)

Segment-Level Vectorized Beam Search Based on Partially Autoregressive Inference. - Masao Someki; Nicholas Eng; Yosuke Higuchi; Shinji Watanabe 001 (ASRU, 2023)

CTC Alignments Improve Autoregressive Translation. - Brian Yan; Siddharth Dalmia; Yosuke Higuchi; Graham Neubig; Florian Metze; Alan W. Black; Shinji Watanabe 001 (EACL, 2023)

Spotting Parodies: Detecting Alignment Collapse Between Lyrics and Singing Voice. - Tomoki Ariga; Yosuke Higuchi; Mitsunori Kanno; Rie Shigyo; Takato Mizuguchi; Naoki Okamoto; Tetsuji Ogawa (EUSIPCO, 2023)

Mask-CTC-Based Encoder Pre-Training for Streaming End-to-End Speech Recognition. - Huaibo Zhao; Yosuke Higuchi; Yusuke Kida; Tetsuji Ogawa; Tetsunori Kobayashi (EUSIPCO, 2023)

Intermpl: Momentum Pseudo-Labeling With Intermediate CTC Loss. - Yosuke Higuchi; Tetsuji Ogawa; Tetsunori Kobayashi; Shinji Watanabe 001 (ICASSP, 2023)

BECTRA: Transducer-Based End-To-End ASR with Bert-Enhanced Encoder. - Yosuke Higuchi; Tetsuji Ogawa; Tetsunori Kobayashi; Shinji Watanabe 001 (ICASSP, 2023)

Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition. - Yosuke Higuchi; Tetsuji Ogawa; Tetsunori Kobayashi (CoRR, 2023)

Differences Between Singer and Speaker Verification: Training Singer Feature Representation Extractor Utilizing Singing Voice Characteristics. - Sayaka Toma; Tomoki Ariga; Yosuke Higuchi; Ichiju Hayasaka; Rie Shigyo; Tetsuji Ogawa (APSIPA, 2024)

Parody Detection Using Source-Target Attention with Teacher-Forced Lyrics. - Tomoki Ariga; Yosuke Higuchi; Kazutoshi Hayasaka; Naoki Okamoto; Tetsuji Ogawa (ICASSP, 2024)

Hierarchical Multi-Task Learning with CTC and Recursive Operation. - Nahomi Kusunoki; Yosuke Higuchi; Tetsuji Ogawa; Tetsunori Kobayashi (INTERSPEECH, 2024)

Distributed Compression Coding Based on Convolutional Sparse Coding Using Multiple Key Frames. - Yosuke Higuchi; Muhammad Ajmal Muhaimin Bin Mustafa; Yoshimitsu Kuroki (ISPACS, 2024)

Exploring Impact of Prioritizing Intra-Singer Acoustic Variations on Singer Embedding Extractor Construction for Singer Verification. - Sayaka Toma; Tomoki Ariga; Yosuke Higuchi; Ichiju Hayasaka; Rie Shigyo; Tetsuji Ogawa (O-COCOSDA, 2024)

Predictive Speech Recognition and End-of-Utterance Detection Towards Spoken Dialog Systems. - Oswald Zink; Yosuke Higuchi; Carlos Mullov; Alexander Waibel; Tetsunori Kobayashi (CoRR, 2024)

Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model for Guiding End-to-End Speech Recognition. - Yosuke Higuchi; Tetsuji Ogawa; Tetsunori Kobayashi (ICASSP, 2025)