KI

Keisuke Imoto

0000-0002-0703-8293

cs.SDeess.AScs.LGcs.AIcs.MMstat.MLcs.GR

On Valency

published · living versions

Overview and Meta-Analysis of DCASE 2026 Challenge Task 6: Audio Moment Retrieval from Long Audio

with Hokuto Munakata, Tatsuya Komatsu, Taichi Nishimura, Huang Xie +1

2 versions

W_nrggv2wfv2 · current

Preprints & journals

61 papers in the corpus · 2018–2026

SsgCaps: A controlled dataset for the evaluation of sound scene generation algorithms

Modan Tailleur (LS2N), Junwon Lee, Laurie M Heller et al.

0 citations

2609.26854v12026arXiv

Misrecognition or Abstraction? Rethinking Outputs of Sound Event Recognition

Naoya Tomida, Yuki Okamoto, Keisuke Imoto

0 citations

2609.23411v12026arXiv

Overview and Meta-Analysis of DCASE 2026 Challenge Task 6: Audio Moment Retrieval from Long Audio

Hokuto Munakata, Tatsuya Komatsu, Keisuke Imoto et al.

0 citations

2609.12484v22026arXiv

Direct or Mediated? Task-Dependent Audio Information Routing in Large Audio Language Models

Yizhou Zhang, Wangjin Zhou, Xin Gu et al.

0 citations

2608.27026v12026arXiv

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation

Yizhou Zhang, Wangjin Zhou, Yi Zhao et al.

0 citations

2607.13903v12026arXiv

Description and Discussion on DCASE 2026 Challenge Task 2: Noise-aware Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

Tomoya Nishida, Noboru Harada, Daiki Takeuchi et al.

0 citations

2606.01578v12026arXiv

Audio-Image Cross-Modal Retrieval with Onomatopoeic Images

Keisuke Imoto, Yamato Kojima, Takao Tsuchiya

0 citations

2605.17509v12026arXiv

How Much Does Machine Identity Matter in Anomalous Sound Detection at Test Time?

Kevin Wilkinghoff, Keisuke Imoto, Zheng-Hua Tan

0 citations

2602.16253v22026arXiv

Joint Analysis of Acoustic Scenes and Sound Events Based on Semi-Supervised Training of Sound Events With Partial Labels

Keisuke Imoto

1 citation

2510.25075v12025arXiv

SONAR: Self-Distilled Continual Pre-training for Domain Adaptive Audio Representation

Yizhou Zhang, Yuan Gao, Wangjin Zhou et al.

0 citations

2509.15703v22025arXiv

Context-Aware Query Refinement for Target Sound Extraction: Handling Partially Matched Queries

Ryo Sato, Chiho Haruta, Nobuhiko Hiruma et al.

0 citations

2509.08292v12025arXiv

ASDKit: A Toolkit for Comprehensive Evaluation of Anomalous Sound Detection Methods

Takuya Fujimura, Kevin Wilkinghoff, Keisuke Imoto et al.

0 citations

2507.10264v12025arXiv

Description and Discussion on DCASE 2025 Challenge Task 2: First-shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

Tomoya Nishida, Noboru Harada, Daisuke Niizumi et al.

1 citation

2506.10097v22025arXiv

Discrete Tokens Exhibit Interlanguage Speech Intelligibility Benefit: an Analytical Study Towards Accent-robust ASR Only with Native Speech Data

Kentaro Onda, Keisuke Imoto, Satoru Fukayama et al.

2 citations

2505.16182v12025arXiv

Prosodically Enhanced Foreign Accent Simulation by Discrete Token-based Resynthesis Only with Native Speech Corpora

Kentaro Onda, Keisuke Imoto, Satoru Fukayama et al.

1 citation

2505.16191v12025arXiv

Formula-Supervised Sound Event Detection: Pre-Training Without Real Data

Yuto Shibata, Keitaro Tanaka, Yoshiaki Bando et al.

2 citations

2504.04428v12025arXiv

Handling Domain Shifts for Anomalous Sound Detection: A Review of DCASE-Related Work

Kevin Wilkinghoff, Takuya Fujimura, Keisuke Imoto et al.

0 citations

2503.10435v32025arXiv

Sound Scene Synthesis at the DCASE 2024 Challenge

Mathieu Lagrange, Junwon Lee, Modan Tailleur et al.

0 citations

2501.08587v12025arXiv

Trainingless Adaptation of Pretrained Models for Environmental Sound Classification

Noriyuki Tonami, Wataru Kohno, Keisuke Imoto et al.

2 citations

2412.17212v12024arXiv

DOA-Aware Audio-Visual Self-Supervised Learning for Sound Event Localization and Detection

Yoto Fujita, Yoshiaki Bando, Keisuke Imoto et al.

5 citations

2410.22803v12024arXiv

Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation

Junwon Lee, Modan Tailleur, Laurie M. Heller et al.

2 citations

2410.17589v12024arXiv

Construction and Analysis of Impression Caption Dataset for Environmental Sounds

Yuki Okamoto, Ryotaro Nagase, Minami Okamoto et al.

0 citations

2410.15532v12024arXiv

LEAD Dataset: How Can Labels for Sound Event Detection Vary Depending on Annotators?

Naoki Koga, Yoshiaki Bando, Keisuke Imoto

0 citations

2410.09778v12024arXiv

Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

Tomoya Nishida, Noboru Harada, Daisuke Niizumi et al.

9 citations

2406.07250v12024arXiv

M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation

Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi et al.

10 citations

2406.02032v12024arXiv

Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant

Modan Tailleur, Junwon Lee, Mathieu Lagrange et al.

0 citations

2403.17508v12024arXiv

Discriminative Neighborhood Smoothing for Generative Anomalous Sound Detection

Takuya Fujimura, Keisuke Imoto, Tomoki Toda

2 citations

2403.11508v12024arXiv

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

Shunsuke Tsubaki, Daisuke Niizumi, Daiki Takeuchi et al.

2 citations

2403.10756v12024arXiv

F1-EV Score: Measuring the Likelihood of Estimating a Good Decision Threshold for Semi-Supervised Anomaly Detection

Kevin Wilkinghoff, Keisuke Imoto

2 citations

2312.09143v12023arXiv

CAPTDURE: Captioned Sound Dataset of Single Sources

Yuki Okamoto, Kanta Shimonishi, Keisuke Imoto et al.

1 citation

2305.17758v12023arXiv

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 et al.

4 citations

2305.07828v22023arXiv

Environmental sound synthesis from vocal imitations and sound event labels

Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi et al.

2 citations

2305.00302v22023arXiv

Foley Sound Synthesis at the DCASE 2023 Challenge

Keunwoo Choi, Jaekwon Im, Laurie Heller et al.

4 citations

2304.12521v42023arXiv

Visual onoma-to-wave: environmental sound synthesis from visual onomatopoeias and sound-source images

Hien Ohnaka, Shinnosuke Takamichi, Keisuke Imoto et al.

6 citations

2210.09173v12022arXiv

How Should We Evaluate Synthesized Environmental Sounds

Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi et al.

1 citation

2208.07679v12022arXiv

Joint Analysis of Acoustic Scenes and Sound Events with Weakly labeled Data

Shunsuke Tsubaki, Keisuke Imoto, Nobutaka Ono

6 citations

2207.04357v12022arXiv

Joint Analysis of Acoustic Scenes and Sound Events Based on Multitask Learning with Dynamic Weight Adaptation

Kayo Nada, Keisuke Imoto, Takao Tsuchiya

5 citations

2206.10349v12022arXiv

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 et al.

26 citations

2206.05876v22022arXiv

Sound Event Triage: Detecting Sound Events Considering Priority of Classes

Noriyuki Tonami, Keisuke Imoto

2 citations

2204.06402v22022arXiv

How Information on Acoustic Scenes and Sound Events Mutually Benefits Event Detection and Scene Classification Tasks

Keisuke Imoto, Yuka Komatsu, Shunsuke Tsubaki et al.

10 citations

2204.02279v12022arXiv

Environmental Sound Extraction Using Onomatopoeic Words

Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto et al.

8 citations

2112.00209v42021arXiv

Sound Event Detection Guided by Semantic Contexts of Scenes

Noriyuki Tonami, Keisuke Imoto, Ryotaro Nagase et al.

7 citations

2110.03243v32021arXiv

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 et al.

33 citations

2106.04492v22021arXiv

Acoustic Scene Classification Using Multichannel Observation with Partially Missing Channels

Keisuke Imoto

7 citations

2105.01836v12021arXiv

Onoma-to-wave: Environmental sound synthesis from onomatopoeic words

Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi et al.

15 citations

2102.05872v42021arXiv

Sound Event Detection Based on Curriculum Learning Considering Learning Difficulty of Events

Noriyuki Tonami, Keisuke Imoto, Yuki Okamoto et al.

5 citations

2102.05288v12021arXiv

Impact of Sound Duration and Inactive Frames on Sound Event Detection Performance

Keisuke Imoto, Sakiko Mishima, Yumi Arai et al.

18 citations

2102.01927v12021arXiv

Joint Analysis of Sound Events and Acoustic Scenes Using Multitask Learning

Noriyuki Tonami, Keisuke Imoto, Ryosuke Yamanishi et al.

15 citations

2010.09213v12020arXiv

RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis

Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi et al.

2 citations

2007.04719v12020arXiv

Sound Event Detection Using Duration Robust Loss Function

Daichi Akiyama, Keisuke Imoto, Noriyuki Tonami et al.

1 citation

2006.15253v12020arXiv

Career total: 132 works. 61 are in this corpus.Showing the 50 most recent.

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