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2020 – today
- 2022
[c7]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- [c6]Yuichiro Koyama, Naoki Murata, Stefan Uhlich, Giorgio Fabbro, Shusuke Takahashi, Yuki Mitsufuji:
Music Source Separation With Deep Equilibrium Models. ICASSP 2022: 296-300 - [c5]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: 316-320 - [c4]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: 431-435 - [c3]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: 8872-8876 - [i13]Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji:
Removing Distortion Effects in Music Using Deep Neural Networks. CoRR abs/2202.01664 (2022) - [i12]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 abs/2206.01948 (2022) - 2021
- [c2]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: 915-919 - [i11]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 abs/2106.10806 (2021) - [i10]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. CoRR abs/2110.06126 (2021) - [i9]Yuichiro Koyama, Naoki Murata, Stefan Uhlich, Giorgio Fabbro, Shusuke Takahashi, Yuki Mitsufuji:
Music Source Separation with Deep Equilibrium Models. CoRR abs/2110.06494 (2021) - [i8]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 abs/2110.06501 (2021) - [i7]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 abs/2110.07124 (2021) - 2020
- [c1]Kazuki Shimada, Yuichiro Koyama, Akira Inoue:
Metric Learning with Background Noise Class for Few-Shot Detection of Rare Sound Events. ICASSP 2020: 616-620 - [i6]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 abs/2005.11611 (2020) - [i5]Yuichiro Koyama, Oluwafemi Azeez, Bhiksha Raj:
Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation. CoRR abs/2005.11612 (2020) - [i4]Yuichiro Koyama, Bhiksha Raj:
Exploring Optimal DNN Architecture for End-to-End Beamformers Based on Time-frequency References. CoRR abs/2005.12683 (2020) - [i3]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 abs/2010.15306 (2020)
2010 – 2019
- 2019
- [i2]Kazuki Shimada, Yuichiro Koyama, Akira Inoue:
Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events. CoRR abs/1910.13724 (2019) - [i1]Yuichiro Koyama, Bhiksha Raj:
W-Net BF: DNN-based Beamformer Using Joint Training Approach. CoRR abs/1910.14262 (2019)
Coauthor Index
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