Yuichiro Koyama

31 papers A* 1Misc 8Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Music Foundation Model as Generic Booster for Music Downstream Tasks. Trans. Mach. Learn. Res. Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya, Zhi Zhong, Chieh-Hsin Lai, Giorgio Fabbro, Kazuki Shimada, Keisuke Toyama, Kin Wai Cheuk, Marco A. Martínez Ramírez, Shusuke Takahashi, Stefan Uhlich, Taketo Akama, Woosung Choi, Yuichiro Koyama, Yuki Mitsufuji
2025	J	`jnl`	Stereo Sound Event Localization and Detection with Onscreen/offscreen Classification. CoRR Kazuki Shimada, Archontis Politis, Irán R. Román, Parthasaarathy Sudarsanam, David Diaz-Guerra, Ruchi Pandey, Kengo Uchida, Yuichiro Koyama, Naoya Takahashi, Takashi Shibuya, Shusuke Takahashi, Tuomas Virtanen, Yuki Mitsufuji
2024	Misc	`conf`	Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders. ICASSP Hao Shi, Kazuki Shimada, Masato Hirano, Takashi Shibuya, Yuichiro Koyama, Zhi Zhong, Shusuke Takahashi, Tatsuya Kawahara, Yuki Mitsufuji
2024	J	`jnl`	Music Foundation Model as Generic Booster for Music Downstream Tasks. CoRR Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya, Zhi Zhong, Chieh-Hsin Lai, Giorgio Fabbro, Kazuki Shimada, Keisuke Toyama, Kin Wai Cheuk, Marco A. Martínez Ramírez, Shusuke Takahashi, Stefan Uhlich, Taketo Akama, Woosung Choi, Yuichiro Koyama, Yuki Mitsufuji
2024	Misc	`conf`	Zero- and Few-Shot Sound Event Localization and Detection. ICASSP Kazuki Shimada, Kengo Uchida, Yuichiro Koyama, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji, Tatsuya Kawahara
2023	J	`jnl`	Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders. CoRR Hao Shi, Kazuki Shimada, Masato Hirano, Takashi Shibuya, Yuichiro Koyama, Zhi Zhong, Shusuke Takahashi, Tatsuya Kawahara, Yuki Mitsufuji
2023	J	`jnl`	Diffusion-based Signal Refiner for Speech Separation. CoRR Masato Hirano, Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Yuki Mitsufuji
2023	A*	`conf`	STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. NeurIPS Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam, Daniel Aleksander Krause, Kengo Uchida, Sharath Adavanne, Aapo Hakala, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Tuomas Virtanen, Yuki Mitsufuji
2023	J	`jnl`	STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. CoRR Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam, Daniel Krause, Kengo Uchida, Sharath Adavanne, Aapo Hakala, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Tuomas Virtanen, Yuki Mitsufuji
2023	J	`jnl`	Zero- and Few-shot Sound Event Localization and Detection. CoRR Kazuki Shimada, Kengo Uchida, Yuichiro Koyama, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji, Tatsuya Kawahara
2022	—	`conf`	Distortion Audio Effects: Learning How to Recover the Clean Signal. ISMIR Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji
2022	Misc	`conf`	Multi-ACCDOA: Localizing And Detecting Overlapping Sounds From The Same Class With Auxiliary Duplicating Permutation Invariant Training. ICASSP Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Naoya Takahashi, Emiru Tsunoo, Yuki Mitsufuji
2022	Misc	`conf`	Music Source Separation With Deep Equilibrium Models. ICASSP Yuichiro Koyama, Naoki Murata, Stefan Uhlich, Giorgio Fabbro, Shusuke Takahashi, Yuki Mitsufuji
2022	J	`jnl`	Removing Distortion Effects in Music Using Deep Neural Networks. CoRR Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji
2022	—	`conf`	STARSS22: A Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. DCASE Archontis Politis, Kazuki Shimada, Parthasaarathy Sudarsanam, Sharath Adavanne, Daniel Krause, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji, Tuomas Virtanen
2022	J	`jnl`	STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events. CoRR Archontis Politis, Kazuki Shimada, Parthasaarathy Sudarsanam, Sharath Adavanne, Daniel Krause, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji, Tuomas Virtanen
2022	Misc	`conf`	Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection. ICASSP Yuichiro Koyama, Kazuhide Shigemi, Masafumi Takahashi, Kazuki Shimada, Naoya Takahashi, Emiru Tsunoo, Shusuke Takahashi, Yuki Mitsufuji
2022	Misc	`conf`	Spatial Mixup: Directional Loudness Modification as Data Augmentation for Sound Event Localization and Detection. ICASSP Ricardo Falcón Pérez, Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Yuki Mitsufuji
2021	Misc	`conf`	Accdoa: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization And Detection. ICASSP Kazuki Shimada, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji
2021	J	`jnl`	Ensemble of ACCDOA- and EINV2-based Systems with D3Nets and Impulse Response Simulation for Sound Event Localization and Detection. CoRR Kazuki Shimada, Naoya Takahashi, Yuichiro Koyama, Shusuke Takahashi, Emiru Tsunoo, Masafumi Takahashi, Yuki Mitsufuji
2021	J	`jnl`	Multi-ACCDOA: Localizing and Detecting Overlapping Sounds from the Same Class with Auxiliary Duplicating Permutation Invariant Training. CoRR Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Naoya Takahashi, Emiru Tsunoo, Yuki Mitsufuji
2021	J	`jnl`	Music Source Separation with Deep Equilibrium Models. CoRR Yuichiro Koyama, Naoki Murata, Stefan Uhlich, Giorgio Fabbro, Shusuke Takahashi, Yuki Mitsufuji
2021	J	`jnl`	Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection. CoRR Yuichiro Koyama, Kazuhide Shigemi, Masafumi Takahashi, Kazuki Shimada, Naoya Takahashi, Emiru Tsunoo, Shusuke Takahashi, Yuki Mitsufuji
2021	J	`jnl`	Spatial mixup: Directional loudness modification as data augmentation for sound event localization and detection. CoRR Ricardo Falcón Pérez, Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Yuki Mitsufuji
2020	J	`jnl`	ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and Detection. CoRR Kazuki Shimada, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji
2020	J	`jnl`	Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation. CoRR Yuichiro Koyama, Oluwafemi Azeez, Bhiksha Raj
2020	J	`jnl`	Exploring Optimal DNN Architecture for End-to-End Beamformers Based on Time-frequency References. CoRR Yuichiro Koyama, Bhiksha Raj
2020	J	`jnl`	Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks. CoRR Yuichiro Koyama, Tyler Vuong, Stefan Uhlich, Bhiksha Raj
2020	Misc	`conf`	Metric Learning with Background Noise Class for Few-Shot Detection of Rare Sound Events. ICASSP Kazuki Shimada, Yuichiro Koyama, Akira Inoue
2019	J	`jnl`	Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events. CoRR Kazuki Shimada, Yuichiro Koyama, Akira Inoue
2019	J	`jnl`	W-Net BF: DNN-based Beamformer Using Joint Training Approach. CoRR Yuichiro Koyama, Bhiksha Raj