Daisuke Niizumi

According to our database, Daisuke Niizumi authored at least 22 papers between 2018 and 2024.

Collaborative distances:

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

2024

Refining Knowledge Transfer on Audio-Image Temporal Agreement for Audio-Text Cross Retrieval.

Shunsuke Tsubaki, Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Keisuke Imoto

CoRR, 2024

2023

BYOL for Audio: Exploring Pre-Trained General-Purpose Audio Representations.

Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Audio Difference Captioning Utilizing Similarity-Discrepancy Disentanglement.

Daiki Takeuchi, Yasunori Ohishi, Daisuke Niizumi, Noboru Harada, Kunio Kashino

CoRR, 2023

Masked Modeling Duo for Speech: Specializing General-Purpose Audio Representation to Speech using Denoising Distillation.

Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino

CoRR, 2023

Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring.

Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi

CoRR, 2023

Masked Modeling Duo: Learning Representations by Encouraging Both Networks to Model the Input.

Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino

Proceedings of the IEEE International Conference on Acoustics, 2023

First-Shot Anomaly Sound Detection for Machine Condition Monitoring: A Domain Generalization Baseline.

Noboru Harada, Daisuke Niizumi, Yasunori Ohishi, Daiki Takeuchi, Masahiro Yasuda

Proceedings of the 31st European Signal Processing Conference, 2023

Enhancing Spectrogram for Audio Classification Using Time-Frequency Enhancer.

Haoran Xing, Shiqi Zhang, Daiki Takeuchi, Daisuke Niizumi, Noboru Harada, Shoji Makino

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

Joint Analysis of Acoustic Scenes and Sound Events Based on Semi-Supervised Approach.

Ami Igarashi, Shunsuke Tsubaki, Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Keisuke Imoto

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques.

Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi

CoRR, 2022

ConceptBeam: Concept Driven Target Speech Extraction.

Yasunori Ohishi, Marc Delcroix, Tsubasa Ochiai, Shoko Araki, Daiki Takeuchi, Daisuke Niizumi, Akisato Kimura, Noboru Harada, Kunio Kashino

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Introducing Auxiliary Text Query-modifier to Content-based Audio Retrieval.

Daiki Takeuchi, Yasunori Ohishi, Daisuke Niizumi, Noboru Harada, Kunio Kashino

Proceedings of the Interspeech 2022, 2022

Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model.

Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino

Proceedings of the 30th European Signal Processing Conference, 2022

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques.

Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi

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

2021

Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions.

Yohei Kawaguchi, Keisuke Imoto, Yuma Koizumi, Noboru Harada, Daisuke Niizumi, Kota Dohi, Ryo Tanabe, Harsh Purohit, Takashi Endo

CoRR, 2021

BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation.

Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino

Proceedings of the International Joint Conference on Neural Networks, 2021

Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representation.

Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino

Proceedings of the HEAR: Holistic Evaluation of Audio Representations, 2021

Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Detection for Machine Condition Monitoring Under Domain Shifted Conditions.

Yohei Kawaguchi, Keisuke Imoto, Yuma Koizumi, Noboru Harada, Daisuke Niizumi, Kota Dohi, Ryo Tanabe, Harsh Purohit, Takashi Endo

Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

ToyADMOS2: Another Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection under Domain Shift Conditions.

Noboru Harada, Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Masahiro Yasuda, Shoichiro Saito

Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020

Audio Captioning using Pre-Trained Large-Scale Language Model Guided by Audio-based Similar Caption Retrieval.

Yuma Koizumi, Yasunori Ohishi, Daisuke Niizumi, Daiki Takeuchi, Masahiro Yasuda

CoRR, 2020

The Morandi Room: Entering the World of Morandi's Paintings Through Machine Learning.

Shigeru Kobayashi, Ryota Kuwakubo, Shigeru Matsui, Yoshiyuki Otani, Xinqi Zhang, Daisuke Niizumi

Proceedings of the Advances in Artificial Intelligence, 2020

2018

Acoustic Scene Classification: a Competition Review.

Shayan Gharib, Honain Derrar, Daisuke Niizumi, Tuukka Senttula, Janne Tommola, Toni Heittola, Tuomas Virtanen, Heikki Huttunen

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018