| 2025 | ASRU | Can We Really Repurpose Multi-Speaker ASR Corpus for Speaker Diarization? | Shota Horiguchi, Naohiro Tawara, Takanori Ashihara, Atsushi Ando, Marc Delcroix |
| 2025 | ICASSP | Guided Speaker Embedding. | Shota Horiguchi, Takafumi Moriya, Atsushi Ando, Takanori Ashihara, Hiroshi Sato, Naohiro Tawara, Marc Delcroix |
| 2025 | ICASSP | Alignment-Free Training for Transducer-based Multi-Talker ASR. | Takafumi Moriya, Shota Horiguchi, Marc Delcroix, Ryo Masumura, Takanori Ashihara, Hiroshi Sato, Kohei Matsuura, Masato Mimura |
| 2025 | ICASSP | Mamba-based Segmentation Model for Speaker Diarization. | Alexis Plaquet, Naohiro Tawara, Marc Delcroix, Shota Horiguchi, Atsushi Ando, Shoko Araki |
| 2025 | ICASSP | Multi-channel Speaker Counting for EEND-VC-based Speaker Diarization on Multi-domain Conversation. | Naohiro Tawara, Atsushi Ando, Shota Horiguchi, Marc Delcroix |
| 2025 | Interspeech | Analysis of Semantic and Acoustic Token Variability Across Speech, Music, and Audio Domains. | Takanori Ashihara, Marc Delcroix, Tsubasa Ochiai, Kohei Matsuura, Shota Horiguchi |
| 2025 | Interspeech | Voice Impression Control in Zero-Shot TTS. | Kenichi Fujita, Shota Horiguchi, Yusuke Ijima |
| 2025 | Interspeech | Mitigating Non-Target Speaker Bias in Guided Speaker Embedding. | Shota Horiguchi, Takanori Ashihara, Marc Delcroix, Atsushi Ando, Naohiro Tawara |
| 2025 | Interspeech | Pretraining Multi-Speaker Identification for Neural Speaker Diarization. | Shota Horiguchi, Atsushi Ando, Naohiro Tawara, Marc Delcroix |
| 2024 | ICASSP | Streaming Active Learning for Regression Problems Using Regression via Classification. | Shota Horiguchi, Kota Dohi, Yohei Kawaguchi |
| 2024 | Interspeech | Factor-Conditioned Speaking-Style Captioning. | Atsushi Ando, Takafumi Moriya, Shota Horiguchi, Ryo Masumura |
| 2024 | Interspeech | SpeakerBeam-SS: Real-time Target Speaker Extraction with Lightweight Conv-TasNet and State Space Modeling. | Hiroshi Sato, Takafumi Moriya, Masato Mimura, Shota Horiguchi, Tsubasa Ochiai, Takanori Ashihara, Atsushi Ando, Kentaro Shinayama, Marc Delcroix |
| 2023 | Interspeech | Spoofing Attacker Also Benefits from Self-Supervised Pretrained Model. | Aoi Ito, Shota Horiguchi |
| 2023 | Interspeech | CAPTDURE: Captioned Sound Dataset of Single Sources. | Yuki Okamoto, Kanta Shimonishi, Keisuke Imoto, Kota Dohi, Shota Horiguchi, Yohei Kawaguchi |
| 2022 | ICASSP | Multi-Channel End-To-End Neural Diarization with Distributed Microphones. | Shota Horiguchi, Yuki Takashima, Paola Garca, Shinji Watanabe, Yohei Kawaguchi |
| 2022 | ICASSP | Environmental Sound Extraction Using Onomatopoeic Words. | Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, Yohei Kawaguchi |
| 2022 | ICML | Rethinking Fano's Inequality in Ensemble Learning. | Terufumi Morishita, Gaku Morio, Shota Horiguchi, Hiroaki Ozaki, Nobuo Nukaga |
| 2022 | Interspeech | Updating Only Encoders Prevents Catastrophic Forgetting of End-to-End ASR Models. | Yuki Takashima, Shota Horiguchi, Shinji Watanabe, Leibny Paola Garca-Perera, Yohei Kawaguchi |
| 2021 | ASRU | Towards Neural Diarization for Unlimited Numbers of Speakers Using Global and Local Attractors. | Shota Horiguchi, Shinji Watanabe, Paola Garca, Yawen Xue, Yuki Takashima, Yohei Kawaguchi |
| 2021 | ICASSP | End-To-End Speaker Diarization as Post-Processing. | Shota Horiguchi, Paola Garca, Yusuke Fujita, Shinji Watanabe, Kenji Nagamatsu |
| 2021 | Interspeech | Semi-Supervised Training with Pseudo-Labeling for End-To-End Neural Diarization. | Yuki Takashima, Yusuke Fujita, Shota Horiguchi, Shinji Watanabe, Leibny Paola Garca-Perera, Kenji Nagamatsu |
| 2021 | Interspeech | Online Streaming End-to-End Neural Diarization Handling Overlapping Speech and Flexible Numbers of Speakers. | Yawen Xue, Shota Horiguchi, Yusuke Fujita, Yuki Takashima, Shinji Watanabe, Leibny Paola Garca-Perera, Kenji Nagamatsu |
| 2020 | ICRA | Anticipating the Start of User Interaction for Service Robot in the Wild. | Koichiro Ito, Quan Kong, Shota Horiguchi, Takashi Sumiyoshi, Kenji Nagamatsu |
| 2020 | Interspeech | End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors. | Shota Horiguchi, Yusuke Fujita, Shinji Watanabe, Yawen Xue, Kenji Nagamatsu |
| 2020 | Interspeech | Utterance-Wise Meeting Transcription System Using Asynchronous Distributed Microphones. | Shota Horiguchi, Yusuke Fujita, Kenji Nagamatsu |
| 2019 | ASRU | End-to-End Neural Speaker Diarization with Self-Attention. | Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi, Yawen Xue, Kenji Nagamatsu, Shinji Watanabe |
| 2019 | ASRU | Simultaneous Speech Recognition and Speaker Diarization for Monaural Dialogue Recordings with Target-Speaker Acoustic Models. | Naoyuki Kanda, Shota Horiguchi, Yusuke Fujita, Yawen Xue, Kenji Nagamatsu, Shinji Watanabe |
| 2019 | ICASSP | Acoustic Modeling for Distant Multi-talker Speech Recognition with Single- and Multi-channel Branches. | Naoyuki Kanda, Yusuke Fujita, Shota Horiguchi, Rintaro Ikeshita, Kenji Nagamatsu, Shinji Watanabe |
| 2019 | Interspeech | End-to-End Neural Speaker Diarization with Permutation-Free Objectives. | Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi, Kenji Nagamatsu, Shinji Watanabe |
| 2019 | Interspeech | Multimodal Response Obligation Detection with Unsupervised Online Domain Adaptation. | Shota Horiguchi, Naoyuki Kanda, Kenji Nagamatsu |
| 2019 | Interspeech | Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. | Naoyuki Kanda, Christoph Bddeker, Jens Heitkaemper, Yusuke Fujita, Shota Horiguchi, Kenji Nagamatsu, Reinhold Haeb-Umbach |
| 2019 | Interspeech | Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition. | Naoyuki Kanda, Shota Horiguchi, Ryoichi Takashima, Yusuke Fujita, Kenji Nagamatsu, Shinji Watanabe |
| 2019 | WACV | Omnidirectional Pedestrian Detection by Rotation Invariant Training. | Masato Tamura, Shota Horiguchi, Tomokazu Murakami |
| 2016 | ICIP | The log-normal distribution of the size of objects in daily meal images and its application to the efficient reduction of object proposals. | Shota Horiguchi, Kiyoharu Aizawa, Makoto Ogawa |