Yuichiro Koyama

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Smoothing Algorithm

Noisy Environments

Top Venues

Publications

Kazuki Shimada, Kengo Uchida, Yuichiro Koyama, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji, Tatsuya Kawahara
Zero- and Few-Shot Sound Event Localization and Detection. ICASSP (2024)
Hao Shi, Kazuki Shimada, Masato Hirano, Takashi Shibuya, Yuichiro Koyama, Zhi Zhong, Shusuke Takahashi, Tatsuya Kawahara, Yuki Mitsufuji
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders. ICASSP (2024)
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
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. NeurIPS (2023)
Masato Hirano, Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Yuki Mitsufuji
Diffusion-based Signal Refiner for Speech Separation. CoRR (2023)
Hao Shi, Kazuki Shimada, Masato Hirano, Takashi Shibuya, Yuichiro Koyama, Zhi Zhong, Shusuke Takahashi, Tatsuya Kawahara, Yuki Mitsufuji
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders. CoRR (2023)
Kazuki Shimada, Kengo Uchida, Yuichiro Koyama, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji, Tatsuya Kawahara
Zero- and Few-shot Sound Event Localization and Detection. CoRR (2023)
Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam, Daniel Krause, Kengo Uchida, Sharath Adavanne, Aapo Hakala, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Tuomas Virtanen, Yuki Mitsufuji
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. CoRR (2023)
Yuichiro Koyama, Kazuhide Shigemi, Masafumi Takahashi, Kazuki Shimada, Naoya Takahashi, Emiru Tsunoo, Shusuke Takahashi, Yuki Mitsufuji
Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection. ICASSP (2022)
Archontis Politis, Kazuki Shimada, Parthasaarathy Sudarsanam, Sharath Adavanne, Daniel Krause, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji, Tuomas Virtanen
STARSS22: A Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. DCASE (2022)
Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji
Removing Distortion Effects in Music Using Deep Neural Networks. CoRR (2022)
Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Naoya Takahashi, Emiru Tsunoo, Yuki Mitsufuji
Multi-ACCDOA: Localizing And Detecting Overlapping Sounds From The Same Class With Auxiliary Duplicating Permutation Invariant Training. ICASSP (2022)
Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji
Distortion Audio Effects: Learning How to Recover the Clean Signal. ISMIR (2022)
Archontis Politis, Kazuki Shimada, Parthasaarathy Sudarsanam, Sharath Adavanne, Daniel Krause, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji, Tuomas Virtanen
STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events. CoRR (2022)
Yuichiro Koyama, Naoki Murata, Stefan Uhlich, Giorgio Fabbro, Shusuke Takahashi, Yuki Mitsufuji
Music Source Separation With Deep Equilibrium Models. ICASSP (2022)
Ricardo Falcón Pérez, Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Yuki Mitsufuji
Spatial Mixup: Directional Loudness Modification as Data Augmentation for Sound Event Localization and Detection. ICASSP (2022)
Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Naoya Takahashi, Emiru Tsunoo, Yuki Mitsufuji
Multi-ACCDOA: Localizing and Detecting Overlapping Sounds from the Same Class with Auxiliary Duplicating Permutation Invariant Training. CoRR (2021)
Yuichiro Koyama, Naoki Murata, Stefan Uhlich, Giorgio Fabbro, Shusuke Takahashi, Yuki Mitsufuji
Music Source Separation with Deep Equilibrium Models. CoRR (2021)
Kazuki Shimada, Naoya Takahashi, Yuichiro Koyama, Shusuke Takahashi, Emiru Tsunoo, Masafumi Takahashi, Yuki Mitsufuji
Ensemble of ACCDOA- and EINV2-based Systems with D3Nets and Impulse Response Simulation for Sound Event Localization and Detection. CoRR (2021)
Yuichiro Koyama, Kazuhide Shigemi, Masafumi Takahashi, Kazuki Shimada, Naoya Takahashi, Emiru Tsunoo, Shusuke Takahashi, Yuki Mitsufuji
Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection. CoRR (2021)
Kazuki Shimada, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji
Accdoa: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization And Detection. ICASSP (2021)
Ricardo Falcon-Perez, Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Yuki Mitsufuji
Spatial mixup: Directional loudness modification as data augmentation for sound event localization and detection. CoRR (2021)
Yuichiro Koyama, Bhiksha Raj
Exploring Optimal DNN Architecture for End-to-End Beamformers Based on Time-frequency References. CoRR (2020)
Yuichiro Koyama, Oluwafemi Azeez, Bhiksha Raj
Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation. CoRR (2020)
Kazuki Shimada, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji
ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and Detection. CoRR (2020)
Kazuki Shimada, Yuichiro Koyama, Akira Inoue
Metric Learning with Background Noise Class for Few-Shot Detection of Rare Sound Events. ICASSP (2020)
Yuichiro Koyama, Tyler Vuong, Stefan Uhlich, Bhiksha Raj
Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks. CoRR (2020)
Yuichiro Koyama, Bhiksha Raj
W-Net BF: DNN-based Beamformer Using Joint Training Approach. CoRR (2019)
Kazuki Shimada, Yuichiro Koyama, Akira Inoue
Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events. CoRR (2019)