Kazuki Shimada

According to our database, Kazuki Shimada authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes.

Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji

CoRR, 2024

2023

Zero- and Few-shot Sound Event Localization and Detection.

Kazuki Shimada, Kengo Uchida, Yuichiro Koyama, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji, Tatsuya Kawahara

CoRR, 2023

Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders.

Hao Shi, Kazuki Shimada, Masato Hirano, Takashi Shibuya, Yuichiro Koyama, Zhi Zhong, Shusuke Takahashi, Tatsuya Kawahara, Yuki Mitsufuji

CoRR, 2023

Diffusion-based Signal Refiner for Speech Separation.

Masato Hirano, Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Yuki Mitsufuji

CoRR, 2023

Extending Audio Masked Autoencoders toward Audio Restoration.

Zhi Zhong, Hao Shi, Masato Hirano, Kazuki Shimada, Kazuya Tateishi, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

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, Kengo Uchida, Sharath Adavanne, Aapo Hakala, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Tuomas Virtanen, Yuki Mitsufuji

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An Attention-Based Approach to Hierarchical Multi-Label Music Instrument Classification.

Zhi Zhong, Masato Hirano, Kazuki Shimada, Kazuya Tateishi, Shusuke Takahashi, Yuki Mitsufuji

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Video Generation Unconsciously Evoking Pre-Motion to Passengers in Automated Vehicles.

Kazuki Shimada, Taishi Sawabe, Hidehiko Shishido, Masayuki Kanbara, Itaru Kitahara

Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 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

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE International Conference on Acoustics, 2022

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, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji, Tuomas Virtanen

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

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

Accdoa: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization And Detection.

Kazuki Shimada, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Sound Event Localization and Detection Using Activity-Coupled Cartesian DOA Vector and RD3net.

Kazuki Shimada, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji

CoRR, 2020

Metric Learning with Background Noise Class for Few-Shot Detection of Rare Sound Events.

Kazuki Shimada, Yuichiro Koyama, Akira Inoue

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Unsupervised Speech Enhancement Based on Multichannel NMF-Informed Beamforming for Noise-Robust Automatic Speech Recognition.

Kazuki Shimada, Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara

IEEE ACM Trans. Audio Speech Lang. Process., 2019

2018

Unsupervised Beamforming Based on Multichannel Nonnegative Matrix Factorization for Noisy Speech Recognition.

Kazuki Shimada, Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Combined Multi-Channel NMF-Based Robust Beamforming for Noisy Speech Recognition.

Masato Mimura, Yoshiaki Bando, Kazuki Shimada, Shinsuke Sakai, Kazuyoshi Yoshii, Tatsuya Kawahara

Proceedings of the Interspeech 2017, 2017