W-Net BF: DNN-based Beamformer Using Joint Training Approach. - Yuichiro Koyama; Bhiksha Raj (CoRR, 2019)

Metric Learning with Background Noise Class for Few-Shot Detection of Rare Sound Events. - Kazuki Shimada; Yuichiro Koyama; Akira Inoue (ICASSP, 2020)

Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks. - Yuichiro Koyama; Tyler Vuong; Stefan Uhlich; Bhiksha Raj (CoRR, 2020)

Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation. - Yuichiro Koyama; Oluwafemi Azeez; Bhiksha Raj (CoRR, 2020)

Exploring Optimal DNN Architecture for End-to-End Beamformers Based on Time-frequency References. - Yuichiro Koyama; Bhiksha Raj (CoRR, 2020)

Accdoa: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization And Detection. - Kazuki Shimada; Yuichiro Koyama; Naoya Takahashi; Shusuke Takahashi; Yuki Mitsufuji (ICASSP, 2021)

Ensemble of ACCDOA- and EINV2-based Systems with D3Nets and Impulse Response Simulation for Sound Event Localization and Detection. - Kazuki Shimada; Naoya Takahashi; Yuichiro Koyama; Shusuke Takahashi; Emiru Tsunoo; Masafumi Takahashi; Yuki Mitsufuji (CoRR, 2021)

STARSS22: A Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. - Archontis Politis; Kazuki Shimada; Parthasaarathy Sudarsanam; Sharath Adavanne; Daniel Krause 001; Yuichiro Koyama; Naoya Takahashi; Shusuke Takahashi; Yuki Mitsufuji; Tuomas Virtanen (DCASE, 2022)

Music Source Separation With Deep Equilibrium Models. - Yuichiro Koyama; Naoki Murata; Stefan Uhlich; Giorgio Fabbro; Shusuke Takahashi; Yuki Mitsufuji (ICASSP, 2022)

Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection. - Yuichiro Koyama; Kazuhide Shigemi; Masafumi Takahashi; Kazuki Shimada; Naoya Takahashi; Emiru Tsunoo; Shusuke Takahashi; Yuki Mitsufuji (ICASSP, 2022)

Spatial Mixup: Directional Loudness Modification as Data Augmentation for Sound Event Localization and Detection. - Ricardo Falcón Pérez; Kazuki Shimada; Yuichiro Koyama; Shusuke Takahashi; Yuki Mitsufuji (ICASSP, 2022)

Multi-ACCDOA: Localizing And Detecting Overlapping Sounds From The Same Class With Auxiliary Duplicating Permutation Invariant Training. - Kazuki Shimada; Yuichiro Koyama; Shusuke Takahashi; Naoya Takahashi; Emiru Tsunoo; Yuki Mitsufuji (ICASSP, 2022)

Distortion Audio Effects: Learning How to Recover the Clean Signal. - Johannes Imort; Giorgio Fabbro; Marco A. Martínez Ramírez; Stefan Uhlich; Yuichiro Koyama; Yuki Mitsufuji (ISMIR, 2022)

Removing Distortion Effects in Music Using Deep Neural Networks. - Johannes Imort; Giorgio Fabbro; Marco A. Martínez Ramírez; Stefan Uhlich; Yuichiro Koyama; Yuki Mitsufuji (CoRR, 2022)

STARSS22: Sony-TAu Realistic Spatial Soundscapes 2022 dataset. - Adavanne Politis; Yuki Mitsufuji; Parthasaarathy Sudarsanam; Kazuki Shimada; Sharath Adavanne; Yuichiro Koyama; Daniel Krause 001; Naoya Takahashi; Shusuke Takahashi; Tuomas Virtanen (Zenodo, 2022)

STARSS22: Sony-TAu Realistic Spatial Soundscapes 2022 dataset. - Archontis Politis; Yuki Mitsufuji; Parthasaarathy Sudarsanam; Kazuki Shimada; Sharath Adavanne; Yuichiro Koyama; Daniel Aleksander Krause 001; Naoya Takahashi; Shusuke Takahashi; Tuomas Virtanen (Zenodo, 2022)

STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. - Kazuki Shimada; Archontis Politis; Parthasaarathy Sudarsanam; Daniel Aleksander Krause 001; Kengo Uchida; Sharath Adavanne; Aapo Hakala; Yuichiro Koyama; Naoya Takahashi; Shusuke Takahashi; Tuomas Virtanen; Yuki Mitsufuji (NeurIPS, 2023)

Diffusion-based Signal Refiner for Speech Separation. - Masato Hirano; Kazuki Shimada; Yuichiro Koyama; Shusuke Takahashi; Yuki Mitsufuji (CoRR, 2023)

STARSS23: Sony-TAu Realistic Spatial Soundscapes 2023. - Archontis Politis; Kazuki Shimada; Parthasaarathy Sudarsanam; Aapo Hakala; Shusuke Takahashi; Daniel Aleksander Krause 001; Naoya Takahashi; Sharath Adavanne; Yuichiro Koyama; Kengo Uchida; Yuki Mitsufuji; Tuomas Virtanen (Zenodo, 2023)

STARSS23: Sony-TAu Realistic Spatial Soundscapes 2023. - Archontis Politis; Kazuki Shimada; Parthasaarathy Sudarsanam; Aapo Hakala; Shusuke Takahashi; Daniel Aleksander Krause 001; Naoya Takahashi; Sharath Adavanne; Yuichiro Koyama; Kengo Uchida; Yuki Mitsufuji; Tuomas Virtanen (Zenodo, 2023)

Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders. - Hao Shi; Kazuki Shimada; Masato Hirano; Takashi Shibuya 001; Yuichiro Koyama; Zhi Zhong; Shusuke Takahashi; Tatsuya Kawahara; Yuki Mitsufuji (ICASSP, 2024)

Zero- and Few-Shot Sound Event Localization and Detection. - Kazuki Shimada; Kengo Uchida; Yuichiro Koyama; Takashi Shibuya 001; Shusuke Takahashi; Yuki Mitsufuji; Tatsuya Kawahara (ICASSP, 2024)

Music Foundation Model as Generic Booster for Music Downstream Tasks. - Wei-Hsiang Liao 001; Yuhta Takida; Yukara Ikemiya; Zhi Zhong; Chieh-Hsin Lai; Giorgio Fabbro; Kazuki Shimada; Keisuke Toyama 002; Kin Wai Cheuk; Marco A. Martínez Ramírez; Shusuke Takahashi; Stefan Uhlich; et al. (Trans. Mach. Learn. Res., 2025)

Stereo Sound Event Localization and Detection with Onscreen/offscreen Classification. - Kazuki Shimada; Archontis Politis; Iran R. Roman; Parthasaarathy Sudarsanam; David Diaz-Guerra; Ruchi Pandey; Kengo Uchida; Yuichiro Koyama; Naoya Takahashi; Takashi Shibuya 001; Shusuke Takahashi; Tuomas Virtanen; et al. (CoRR, 2025)