Imoto, Keisuke(Graduate School of Informatics, Department of Informatics) | Activity Database on Education and Research, Kyoto University

Imoto, Keisuke

Graduate School of Informatics, Department of Informatics Associate Professor

Last Updated :2026/10/20

Basic Information

Faculty

Faculty of Engineering

Professional Memberships

From 2021, To Present
Asia Pacific Signal and Information Processing Association (APSIPA)

From Apr. 2019, To Present
The Institute of Electronics, Information and Communication Engineers

From 2012, To Present
IEEE

From Feb. 2008, To Present
Acoustical Society of Japan

European Association for Signal Processing (EURASIP)

INFORMATION PROCESSING SOCIETY OF JAPAN

ISCA

Academic Degree

23 Mar. 2010
京都大学修士（工学）

24 Mar. 2017
総合研究大学院大学博士（情報学）

Academic Resume (Undergraduate School/Majors)

京都大学, 工学部建築学科, 卒業

High School

High School
Mikunigaoka High School

Research History

From Apr. 2026, To Present
Tohoku University, Research Institute of Electrical Communication, Visiting Associate Professor

From Apr. 2025, To Present
Kyoto University, Graduate School of Informatics, Associate Professor

From May 2021, To Present
National Institute of Advanced Industrial Science and Technology (AIST), Visiting researcher

From Apr. 2024, To Mar. 2025
Doshisha University, Faculty of Culture and Information Science, Associate Professor

From Apr. 2020, To Mar. 2024
Doshisha University, Faculty of Science and Engineering, Associate Professor

From Apr. 2018, To Mar. 2020
Ryukoku University, Faculty of Science and Technology, Part-Time Lecturer

From Apr. 2017, To Mar. 2020
Ritsumeikan University, Information Science and Engineering, Research Associate

From Oct. 2014, To Mar. 2017
NTT Communications Corporation, Service unit developing and providing voice and video communications services

From Apr. 2014, To Mar. 2017
SOKENDAI (The Graduate University for Advanced Studies), School of Multidisciplinary Sciences, Ph.D. Student

From Apr. 2010, To Sep. 2014
Nippon Telegraph and Telephone Corporation, Media Intelligence Laboratories, Researcher

ID,URL

J-Global ID
201301060736206122
External link
https://www.ksuke.net

researchmap URL

https://researchmap.jp/ksuke-i

Last Updated :2026/10/20

Research

Research Interests

Signal processing

Acoustic signal processing

microphone array processing

Acoustic event detection

Acoustic scene analysis

Machine learning

Deep learning

Graph signal processing

Bayesian inference

Acoustics

Research Areas

Informatics, Perceptual information processing, Acoustics

Informatics, Database science

Informatics, Statistical science

Social infrastructure (civil Engineering, architecture, disaster prevention), Construction environment and equipment, Architectural acoustics

Papers

Overview and Meta-Analysis of DCASE 2026 Challenge Task 6: Audio Moment Retrieval from Long Audio
Hokuto Munakata; Tatsuya Komatsu; Keisuke Imoto; Taichi Nishimura; Huang Xie; Tuomas Virtanen
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Oct. 2026, Peer-reviewed

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; Daisuke Niizumi; Keisuke Imoto; Kota Dohi; Harsh Purohi; Takashi Endo; Yohei Kawaguchi
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Oct. 2026, Peer-reviewed

DOOM-SED: Downstream-Oriented Open-Vocabulary Model for Sound Event Detection
Shun Sakurai; Yudai Kandori; Yoshiaki Bando; Keisuke Imoto; Masaki Onishi
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Oct. 2026, Peer-reviewed

Misrecognition or Abstraction? Rethinking Outputs of Sound Event Recognition
Naoya Tomida; Yuki Okamoto; Keisuke Imoto
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Oct. 2026, Peer-reviewed, Last author, Corresponding author

Audio-Image Cross-Modal Retrieval with Onomatopoeic Images
Keisuke Imoto; Yamato Kojima; Takao Tsuchiya
Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Nov. 2026, Peer-reviewed, Lead author, Corresponding author

General-Purpose Audio-Visual Sounding Object Localization Based on Semi-Automatic Annotation
Shun Sakurai; Yoshiaki Bando; Keisuke Imoto; Masaki Onishi
IEEE Signal Processing Letters, Jul. 2026, Peer-reviewed

Semi-Supervised Acoustic Scene Classification Based on Neural Word Unigram
Naoki Koga; Yoshiaki Bando; Keisuke Imoto; Takao Tsuchiya
Acoustical Letter, Sep. 2026, Peer-reviewed

How Much Does Machine Identity Matter in Anomalous Sound Detection at Test Time?
Kevin Wilkinghoff; Keisuke Imoto; Zheng-Hua Tan
Proceedings of European Signal Processing Conference (EUSIPCO), Aug. 2026, Peer-reviewed

XACLE Challenge 2026: The First x-to-Audio Alignment Challenge
Yuki Okamoto; Riki Takizawa; Minoru Kishi; Yusuke Kanamori; Noriyuki Tonami; Ryotaro Nagase; Shinnosuke Takamichi; Keisuke Imoto
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2026, Peer-reviewed, Last author, Corresponding author

SONAR: Self-Distilled Continual Pre-training for Domain Adaptive Audio Representation
Yizhou Zhang; Yuan Gao; Wangjin Zhou; Zicheng Yuan; Keisuke Imoto; Tatsuya Kawahara
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2026, Peer-reviewed

Joint Analysis of Acoustic Scenes and Sound Events Based on Semi-Supervised Training of Sound Events With Partial Labels
Keisuke Imoto
APSIPA Transactions on Signal and Information Processing, Nov. 2025, Peer-reviewed, Lead author, Last author, Corresponding author

Handling Domain Shifts for Anomalous Sound Detection: A Review of DCASE-Related Work
Kevin Wilkinghoff; Takuya Fujimura; Keisuke Imoto; Jonathan Le Roux; Zheng-Hua Tan; Tomoki Toda
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Oct. 2025, Peer-reviewed

ASDKit: A Toolkit for Comprehensive Evaluation of Anomalous Sound Detection Methods
Takuya Fujimura; Kevin Wilkinghoff; Keisuke Imoto; Tomoki Toda
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Oct. 2025, Peer-reviewed

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; Davide Albertini; Roberto Sannino; Simone Pradolini; Filippo Augusti; Keisuke Imoto; Kota Dohi; Harsh Purohi; Takashi Endo; Yohei Kawaguchi
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Oct. 2025, Peer-reviewed

KyotoMOS2: MOS Prediction for Speech Across Multiple Sampling Rates
Wangjin Zhou; Yizhou Zhang; Keisuke Imoto; Tatsuya Kawahara
Proceedings of IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Dec. 2025, Peer-reviewed

Context-Aware Query Refinement for Target Sound Extraction: Handling Partially Matched Queries
Ryo Sato; Chiho Haruta; Nobuhiko Hiruma; Keisuke Imoto
Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Oct. 2025, Peer-reviewed, Last author

Training Onset-and-Offset Aware Sound Event Detection on a Heterogeneous Dataset via Probabilistic Sequential Modeling
Tomoya Yoshinaga; Yoshiaki Bando; Keitaro Tanaka; Keisuke Imoto; Masaki Onishi; Shigeo Morishima
Proceedings of INTERSPEECH, Aug. 2025, Peer-reviewed

Prosodically Enhanced Foreign Accent Simulation by Discrete Token-based Resynthesis Only with Native Speech Corpora
Kentaro Onda; Keisuke Imoto; Satoru Fukayama; Daisuke Saito; Nobuaki Minematsu
Proceedings of INTERSPEECH, Aug. 2025, Peer-reviewed

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; Daisuke Saito; Nobuaki Minematsu
Proceedings of INTERSPEECH, Aug. 2025, Peer-reviewed

Formula-Supervised Sound Event Detection: Pre-Training Without Real Data
Yuto Shibata; Keitaro Tanaka; Yoshiaki Bando; Keisuke Imoto; Hirokatsu Kataoka; Yoshimitsu Aoki
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2025, Peer-reviewed

Trainingless Adaptation of Pretrained Models for Environmental Sound Classification
Noriyuki Tonami; Wataru Kohno; Keisuke Imoto; Yoshiyuki Yajima; Sakiko Mishima; Reishi Kondo; Tomoyuki Hino
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2025, Peer-reviewed

Handling Domain Shifts for Anomalous Sound Detection: A Review
Kevin Wilkinghoff; Takuya Fujimura; Keisuke Imoto; Jonathan Le Roux
Proceedings of Joint Annual Meeting of German and Danish Acoustical Societies, Mar. 2025, Peer-reviewed

Estimation of Work Activities in Construction Sites Using Ambient Sounds: A Case Study with Cloud Cameras
Takahiro Morohashi; Keisuke Imoto; Masato Oka; Yasuyuki Kitahara; Riku Matsuda
Artificial Intelligence in Architecture, Engineering and Construction (AI in AEC), 2025., Mar. 2025, Peer-reviewed

Onset-and-Offset-Aware Sound Event Detection via Differentiable Frame-to-Event Mapping
Tomoya Yoshinaga; Keitaro Tanaka; Yoshiaki Bando; Keisuke Imoto; Shigeo Morishima
IEEE Signal Processing Letters, Dec. 2024, Peer-reviewed

Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation
Junwon Lee, Modan Tailleur, Laurie Heller, Keunwoo Choi, Mathieu Lagrange, Brian McFee, Keisuke Imoto, and Yuki Okamoto
Proceedings of NeurIPS 2024 Workshop on AI-Driven Speech, Music, and Sound Generation (Audio Imagination), Dec. 2024, Peer-reviewed

LEAD Dataset: How Can Labels for Sound Event Detection Vary Depending on Annotators?
Naoki Koga; Yoshiaki Bando; Keisuke Imoto
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Dec. 2024, Peer-reviewed, Last author, Corresponding author

Environmental Sound Synthesis Based on Statistical Methods
Yuki Okamoto; Keisuke Imoto
Journal of the Acoustical Society of Japan, Dec. 2024, Invited, Last author

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; Davide Albertini; Roberto Sannino; Simone Pradolini; Filippo Augusti; Keisuke Imoto; Kota Dohi; Harsh Purohi; Takashi Endo; Yohei Kawaguchi
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop 2024, Oct. 2024, Peer-reviewed

M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation
Daisuke Niizumi; Daiki Takeuchi; Yasunori Ohishi; Noboru Harada; Masahiro Yasuda; Shunsuke Tsubaki; Keisuke Imoto
Proceedings of INTERSPEECH 2024, Aug. 2024, Peer-reviewed, Last author

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
Proceedings of European Signal Processing Conference (EUSIPCO), Aug. 2024, Peer-reviewed, Last author, Corresponding author

Correlation of Frechet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependent
Modan Tailleur; Junwon Lee; Mathieu Lagrange; Keunwoo Choi; Laurie Heller; Keisuke Imoto; Yuki Okamoto
Proceedings of European Signal Processing Conference (EUSIPCO), Aug. 2024, Peer-reviewed

Discriminative Neighborhood Smoothing for Generative Anomalous Sound Detection
Takuya Fujimura; Keisuke Imoto; Tomoki Toda
Proceedings of European Signal Processing Conference (EUSIPCO), Aug. 2024, Peer-reviewed

A Sequential Audio Spectrogram Transformer for Real-Time Sound Event Detection
Takezo Ohta; Yoshiaki Bando; Keisuke Imoto; Masaki Onishi
Proceedings of European Signal Processing Conference (EUSIPCO), Aug. 2024, Peer-reviewed

Machine Learning for Anomalous Sound Detection
Kota Dohi; Yohei Kawaguchi; Keisuke Imoto
Journal of the INCE of Japan, Aug. 2024, Invited, Last author, Corresponding author

Foreword to the special issue on "Recent Advances on Active Control of Sound"
Keisuke Imoto; Kohei Yatabe
Journal of the Acoustical Society of Japan, May 2024, Invited, Lead author

Environmental Sound Synthesis From Vocal Imitations and Sound Event Labels
Yuki Okamoto; Keisuke Imoto; Shinnosuke Takamichi; Ryotaro Nagase; Takahiro Fukumori; Yoichi Yamashita
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2024, Peer-reviewed

F1-EV Score: Measuring the Likelihood of Estimating a Good Decision Threshold for Semi-supervised Anomaly Detection
Kevin Wilkinghoff; Keisuke Imoto
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2024, Peer-reviewed, Last author

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 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Oct. 2023, Peer-reviewed, Last author, Corresponding author

DOA-Aware Audio-Visual Self-Supervised Learning for Sound Event Localization and Detection
Yoto Fujita; Yoshiaki Bando; Keisuke Imoto; Masaki Onishi; Kazuyoshi Yoshii
Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Oct. 2023, Peer-reviewed

DCASE Challenge: Series of Competitions for Analyzing and Understanding Environmental Sounds
Keisuke Imoto
Journal of the Acoustical Society of Japan, Sep. 2023, Invited, Lead author, Last author, Corresponding author

Audio-Change Captioning to Explain Machine-Sound Anomalies
Shunsuke Tsubaki, Yohei Kawaguchi, Tomoya Nishida, Keisuke Imoto, Yuki Okamoto, Kota Dohi, Takashi Endo
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Sep. 2023, Peer-reviewed

Event Classification With Class-Level Gated Unit Using Large-Scale Pretrained Model for Optical Fiber Sensing
Noriyuki Tonami; Sakiko Mishima; Reishi Kondo; Keisuke Imoto; Tomoyuki Hino
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Sep. 2023, Peer-reviewed

Foley Sound Synthesis at the DCASE 2023 Challenge
Keunwoo Choi, Jaekwon Im, Laurie Heller, Brian McFee, Keisuke Imoto, Yuki Okamoto, Mathieu Lagrange, and Shinnosuke Takamichi
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Sep. 2023, Peer-reviewed

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 Purohi; Takashi Endo; Masaaki Yamamoto; Yohei Kawaguchi
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Sep. 2023, Peer-reviewed

Environmental Sound Analysis
Keisuke Imoto
The Journal of the Institute of Electronics, Information and Communication Engineers, Aug. 2023, Invited, Lead author, Last author, Corresponding author

CAPTDURE: Captioned Sound Dataset of Single Sources
Yuki Okamoto; Kanta Shimonishi; Keisuke Imoto; Kota Dohi; Shota Horiguchi; Yohei Kawaguchi
Proceedings of INTERSPEECH, Aug. 2023, Peer-reviewed

Visual Onoma-to-Wave: Environmental Sound Synthesis From Visual Onomatopoeias and Sound-Source Images
Hien Ohnaka; Shinnosuke Takamichi; Keisuke Imoto; Yuki Okamoto; Kazuki Fujii; Hiroshi Saruwatari
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun. 2023, Peer-reviewed

Joint Analysis of Acoustic Scenes and Sound Events Based on Multitask Learning with Dynamic Weight Adaptation
Kayo Nada; Keisuke Imoto; Takao Tsuchiya
Acoustical Science and Technology, May 2023, Peer-reviewed, Last author

Missing Data Completion of Multi-Channel Signals Using Autoencoder for Acoustic Scene Classification
Yuki Shiroma; Yuma Kinoshita; Keisuke Imoto; Sayaka Shiota; Nobutaka Ono; Hitoshi Kiya
APSIPA Transactions on Signal and Information Processing, Apr. 2023, Peer-reviewed

Foreword to the Special Issue on "Vocal Transmission of Emotional States in Human and Animals"
Ryosuke Tachibana; Keisuke Imoto
Journal of Acoustical Society of Japan, Jan. 2023, Invited, Last author

Sound Event Triage: Detecting Sound Events Considering Priority of Classes
Noriyuki Tonami; Keisuke Imoto
EURASIP Journal on Audio, Speech, and Music Processing, Jan. 2023, Peer-reviewed, Last author, Corresponding author

Environmental Sound Analysis Utilizing Domain Knowledge
Keisuke Imoto
The Journal of the Institute of Electronics, Information and Communication Engineers, Dec. 2022, Invited, Lead author, Last author, Corresponding author

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
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE), Nov. 2022, Peer-reviewed

Model Training that Prioritizes Rare Overlapped Labels for Polyphonic Sound Event Detection
Rie Koga; Sawa Takamuku; Keisuke Imoto; Naotake Natori
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE), Nov. 2022, Peer-reviewed

How Information on Acoustic Scenes and Sound Events Mutually Benefits Event Detection and Scene Classification Tasks
Ami Igarashi; Keisuke Imoto; Yuka Komatsu; Shunsuke Tsubaki; Shuto Hario; Tatsuya Komatsu
Proceedings of Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Nov. 2022, Peer-reviewed

How Should We Evaluate Synthesized Environmental Sounds
Yuki Okamoto; Keisuke Imoto; Shinnosuke Takamichi; Takahiro Fukumori; Yoichi Yamashita
Proceedings of Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Nov. 2022, Peer-reviewed

Joint Analysis of Acoustic Scenes and Sound Events with Weakly labeled Data
Shunsuke Tsubaki; Keisuke Imoto; Nobutaka Ono
Proceedings of International Workshop on Acoustic Signal Enhancement (IWAENC), Sep. 2022, Peer-reviewed, Lead author, Corresponding author

Semi-supervised Domain Adaptation for Acoustic Scene Classification by Minimax Entropy and Self-supervision Approaches
Yukiko Takahashi; Sawa Takamuku; Keisuke Imoto; Naotake Natori
Proceedings of International Workshop on Acoustic Signal Enhancement (IWAENC), Aug. 2022, Peer-reviewed

Missing Data Recovery Using Autoencoder for Multi-Channel Acoustic Scene Classification
Yuki Shiroma; Yuma Kinoshita; Keisuke Imoto; Sayaka Shiota; Nobutaka Ono; Hitoshi Kiya
Proceedings of European Signal Processing Conference (EUSIPCO), Aug. 2022, Peer-reviewed

Impact of Data Imbalance Caused by Inactive Frames and Difference in Sound Duration on Sound Event Detection Performance
Keisuke Imoto; Sakiko Mishima; Yumi Arai; Reishi Kondo
Applied Acoustics, Jun. 2022, Peer-reviewed, Lead author, Corresponding author

Sound Event Detection Guided by Semantic Contexts of Scenes
Noriyuki Tonami; Keisuke Imoto; Ryotaro Nagase; Yuki Okamoto; Takahiro Fukumori; Yoichi Yamashita
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022, May 2022, Peer-reviewed

Environmental Sound Extraction Using Onomatopoeia
Yuki Okamoto; Shota Horiguchi; Masaaki Yamamoto; Keisuke Imoto; Yohei Kawaguchi
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022, May 2022, Peer-reviewed

Evaluation Metric for Sound Event Detection Considering Severity of Misdetections
Noriyuki Tonami; Keisuke Imoto; Yuki Okamoto; Takahiro Fukumori; Yoichi Yamashita
Journal of Acoustical Society of Japan, May 2022, Peer-reviewed

Research Trends in Environmental Sound Analysis and Anomalous Sound Detection
Keisuke Imoto; Yohei Kawaguchi
電子情報通信学会基礎・境界ソサイエティ Fundamentals review, Apr. 2022, Invited, Lead author, Corresponding author

Onoma-to-wave: Environmental Sound Synthesis from Onomatopoeic Words
Yuki Okamoto; Keisuke Imoto; Shinnosuke Takamichi; Ryosuke Yamanishi; Takahiro Fukumori; Yoichi Yamashita
APSIPA Transactions on Signal and Information Processing, 2022, Peer-reviewed

Multitask Learning of Acoustic Scenes and Events Using Dynamic Weight Adaptation Based on Multi-Focal Loss
Kayo Nada; Keisuke Imoto; Reina Iwamae; Takao Tsuchiya
Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2021, Dec. 2021, Peer-reviewed

Investigation on Spatial and Frequency-based Features for Asynchronous Acoustic Scene Analysis
Yuki Shiroma; Keisuke Imoto; Sayaka Shiota; Nobutaka Ono; Hitoshi Kiya
Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2021, Dec. 2021, Peer-reviewed

Description and Discussion on DCASE2021 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Under Domain Shifted Condition
Yohei Kawaguchi; Keisuke Imoto; Yuma Koizumi; Noboru Harada; Daisuke Niizumi; Kota Dohi; Ryo Tanabe; Harsh Purohit; Takashi Endo
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) 2021, Nov. 2021, Peer-reviewed

Acoustic Scene Classification Using Multichannel Observation with Partially Missing Channels
Keisuke Imoto
Proc. European Signal Processing Conference (EUSIPCO) 2021, Aug. 2021, Peer-reviewed, Lead author, Corresponding author

Sound Event Detection Based on Curriculum Learning Considering Difficulty of Events
Noriyuki Tonami; Keisuke Imoto; Yuki Okamoto; Takahiro Fukumori; Yoichi Yamashita
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021, Jun. 2021, Peer-reviewed

Impact of Sound Duration and Inactive Frames on Sound Event Detection Performance
Keisuke Imoto; Sakiko Mishima; Yumi Arai; Reishi Kondo
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021, Jun. 2021, Peer-reviewed, Lead author, Corresponding author

Joint Analysis of Sound Events and Acoustic Scenes Using Multitask Learning
Noriyuki Tonami; Keisuke Imoto; Ryosuke Yamanishi; Yoichi Yamashita
IEICE Transactions on Information and Systems, Feb. 2021, Peer-reviewed

Experimental Investigation of Robustness of Spatial Cepstrum Features Under Various Recording Conditions
Taiga Kawamura; Ryoichi Miyazaki; Keisuke Imoto; Nobutaka Ono
Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2020, Dec. 2020, Peer-reviewed

Application Vision of Web Speech Mining from Vocal Entertainment Contents
Ryosuke Yamanishi; Issei Tanaka; Keisuke Imoto; Yoichi Yamashita
IPSJ Journal, Nov. 2020, Peer-reviewed

Generation of Characteristic Charts Based on Analyzing and Clustering Charts of Dance Games
Yudai Tsujino; Ryosuke Yamanishi; Yoichi Yamashita; Keisuke Imoto
IPSJ Journal, Nov. 2020, Peer-reviewed

Evaluation Metric of Sound Event Detection Considering Severe Misdetections by Scenes
Noriyuki Tonami; Keisuke Imoto; Takahiro Fukumori; Yoichi Yamashita
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) 2020, Nov. 2020, Peer-reviewed, Corresponding author

RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis
Yuki Okamoto; Keisuke Imoto; Shinnosuke Takamichi; Ryosuke Yamanishi; Takahiro Fukumori; Yoichi Yamashita
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) 2020, Nov. 2020, Peer-reviewed, Corresponding author

Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
Yuma Koizumi; Yohei Kawaguchi; Keisuke Imoto; Toshiki Nakamura; Yuki Nikaido; Ryo Tanabe; Harsh Purohit; Kaori Suefusa; Takashi Endo; Masahiro Yasuda; Noboru Harada
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) 2020, Nov. 2020, Peer-reviewed, Corresponding author

Speaker selection for speech emotion recognition
Daichi Akiyama; Tomoki Ishikawa; Keisuke Imoto; Masahiro Niitsuma; Ryosuke Yamanishi; Yoichi Yamashita
Journal of Acoustical Society of Japan, Oct. 2020, Peer-reviewed

Scene-dependent Acoustic Event Detection with Scene Conditioning and Fake-scene-condition Loss
Tatsuya Komatsu; Keisuke Imoto; Masahito Togami
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020, May 2020, Peer-reviewed

Sound Event Localization Based on Sound Intensity Vector Refined by DNN-based Denoising and Source Separation
Masahiro Yasuda; Yuma Koizumi; Shoichiro Saito; Hisashi Uematsu; Keisuke Imoto
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020, May 2020, Peer-reviewed, Last author

Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels
Keisuke Imoto; Noriyuki Tonami; Yuma Koizumi; Masahiro Yasuda; Ryosuke Yamanishi; Yoichi Yamashita
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020, May 2020, Peer-reviewed, Lead author, Corresponding author

Graph Cepstrum: Spatial Feature Extracted from Partially Connected Microphones
Keisuke Imoto
IEICE Transactions on Information and Systems, Mar. 2020, Peer-reviewed, Lead author, Corresponding author

Crow Call Detection Using Gated Convolutional Recurrent Neural Network
Yuki Okamoto; Keisuke Imoto; Naoki Tsukahara; Ken Nagata; Koh Sueda; Ryosuke Yamanishi; Yoichi Yamashita
Proceedings of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP) 2020, Feb. 2020, Peer-reviewed, Corresponding author

Sound Event Detection Utilizing Graph Laplacian Regularization with Event Co-occurrence
Keisuke Imoto; Seisuke Kyochi
IEICE Transactions on Information and Systems, 2020, Peer-reviewed, Lead author, Corresponding author

RU Multichannel Domestic Acoustic Scenes 2019: A Multichannel Dataset Recorded by Distributed Microphones with Various Devices
Keisuke Imoto; Nobutaka Ono
Proceedings of Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop 2019, Oct. 2019, Peer-reviewed, Lead author, Corresponding author

Joint Analysis of Acoustic Events and Scenes Based on Multitask Learning
Noriyuki Tonami; Keisuke Imoto; Masahiro Niitsuma; Ryosuke Yamanishi; Yoichi Yamashita
Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2019, Oct. 2019, Peer-reviewed

ToyADMOS: A Dataset of Miniature-machine Operating Sounds for Anomalous Sound Detection
Yuma Koizumi; Shoichiro Saito; Hisashi Uematsu; Noboru Harada; Keisuke Imoto
Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2019, Oct. 2019, Peer-reviewed, Last author

Crow Sound Detection based on Gated CRNN
Keisuke Imoto; Naoki Tsukahara; Ken Nagata; Koh Sueda
Journal of the Acoustical Society of Japan, Oct. 2019, Peer-reviewed, Lead author, Corresponding author

Recent advances in environmental sound analysis
Keisuke Imoto
Journal of the Acoustical Society of Japan, Sep. 2019, Invited, Lead author, Corresponding author

Joint Acoustic and Class Inference for Weakly Supervised Sound Event Detection
Sandeep Kothinti; Keisuke Imoto; Debmalya Chakrabarty; Gregory Sell; Shinji Watanabe; Mounya Elhilali
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019, May 2019, Peer-reviewed

Sound Event Detection Using Graph Laplacian Regularization Based on Event Co-occurrence
Keisuke Imoto; Seisuke Kyochi
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019, May 2019, Peer-reviewed, Lead author, Corresponding author

Acoustic Topic Model for Scene Analysis with Intermittently Missing Observations
Keisuke Imoto; Nobutaka Ono
IEEE/ACM Transactions on Audio, Speech, and Language Processing, Feb. 2019, Peer-reviewed, Lead author, Corresponding author

Joint Acoustic and Class Inference for Weakly Supervised Sound Event Detection
Sandeep Kothinti; Keisuke Imoto; Debmalya Chakrabarty; Gregory Sell; Shinji Watanabe; Mounya Elhilali
Technical report of task 4 of DCASE Challenge 2018, Nov. 2018

Audio Source Separation Based on Nonnegative Matrix Factorization with Graph Harmonic Structure
Tomohiro Ichita; Seisuke Kyochi; Keisuke Imoto
Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2018, Nov. 2018, Peer-reviewed

Acoustic Scene Analysis Using Partially Connected Microphones Based on Graph Cepstrum
Keisuke Imoto
Proceedings of European Signal Processing Conference (EUSIPCO) 2018, Sep. 2018, Peer-reviewed, Lead author, Corresponding author

Identifying Individualities of Unconscious Movements While Music Performance Based on a Directional Tendency of the Lumbosacral Plexus
Masahiro Niitsuma; Keisuke Imoto; Yoichi Yamashita
Proceedings of International Conference on Music Perception and Cognition (ICMPC15)/Triennial conference of the European Society for the Cognitive Sciences of Music (ESCOM10) 2018, Jul. 2018, Peer-reviewed

Investigating the Auditory Effects of Neighbor Tones
Kodai Makino; Masahiro Niitsuma; Keisuke Imoto; Yoichi Yamashita
Proceedings of International Conference on Music Perception and Cognition (ICMPC15)/Triennial conference of the European Society for the Cognitive Sciences of Music (ESCOM10) 2018, Jul. 2018, Peer-reviewed

Introduction to acoustic event and scene analysis
Keisuke Imoto
Acoustical Science and Technology, May 2018, Invited, Lead author, Corresponding author

Acoustic event and scene analysis
Keisuke Imoto
Journal of the Acoustical Society of Japan, Apr. 2018, Invited, Lead author, Corresponding author

Online Sound Structure Analysis Based on Generative Model of Acoustic Feature Sequences
Keisuke Imoto; Nobutaka Ono; Masahiro Niitsuma; Yoichi Yamashita
Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2017, Dec. 2017, Peer-reviewed, Invited, Lead author, Corresponding author

Acoustic Scene Classification using Asynchronous Multichannel Observations with Different Lengths
Keisuke Imoto; Nobutaka Ono
Proceedings of IEEE International Workshop on Multimedia Signal Processing (MMSP) 2017, Oct. 2017, Peer-reviewed

Acoustic Scene Classification Based on Generative Model of Acoustic Spatial Words for Distributed Microphone Array
Keisuke Imoto; Nobutaka Ono
Proceedings of European Signal Processing Conference (EUSIPCO) 2017, Aug. 2017, Peer-reviewed, Lead author

Spatial Cepstrum as a Spatial Feature Using a Distributed Microphone Array for Acoustic Scene Analysis
Keisuke Imoto; Nobutaka Ono
IEEE/ACM Transactions on Audio, Speech, and Language Processing, Jun. 2017, Peer-reviewed, Lead author

Acoustic Scene Analysis Based on Hierarchical Generative Model of Acoustic Event Sequence
Keisuke Imoto
IEICE Transactions on Information and Systems, Oct. 2016, Peer-reviewed, Lead author

Online Acoustic Scene Analysis Based on Nonparametric Bayesian Model
Keisuke Imoto; Nobutaka Ono
Proceedings of European Signal Processing Conference (EUSIPCO) 2016, Aug. 2016, Peer-reviewed, Lead author

Online acoustic scene analysis with sequentially obtained acoustic event sequence
Keisuke Imoto; Yasunori Ohishi; Hisashi Uematsu; Hitoshi Ohmuro; Nobutaka Ono
The Journal of the Acoustical Society of Japan, Jun. 2016, Peer-reviewed, Lead author

Spatial-Feature-Based Acoustic Scene Analysis Using Distributed Microphone Array
Keisuke Imoto; Nobutaka Ono
Proceedings of European Signal Processing Conference (EUSIPCO) 2015, Aug. 2015, Peer-reviewed, Invited, Lead author

Acoustic Scene Analysis From Acoustic Event Sequence With Intermittent Missing Event
Keisuke Imoto; Nobutaka Ono
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015, Apr. 2015, Peer-reviewed, Lead author

Acoustic Scene Analysis Based on Latent Acoustic Topic and Event Allocation
Keisuke Imoto; Yasunori Ohishi; Hisashi Uematsu; Hitoshi Ohmuro
Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2013, Sep. 2013, Peer-reviewed, Lead author

User Activity Estimation Method Based on Probabilistic Generative Model of Acoustic Event Sequence with User Activity and Its Subordinate Categories
Keisuke Imoto; Suehiro Shimauchi; Hisashi Uematsu; Hitoshi Ohmuro
Proceedings of INTERSPEECH 2013, Aug. 2013, Peer-reviewed, Lead author

Study on practical use of active noise reflection unit (Anru)
Shiro Ise; Keisuke Imoto; Takahiro Nakashima
Proceedings of 39th International Congress on Noise Control Engineering (INTER-NOISE) 2010, 2010, Peer-reviewed

Effect of active noise reflection unit (ANRU) on noise reduction
Nakashima Takahiro; Kim Shinya; Imoto Keisuke; Ise Shiro
The Journal of the Acoustical Society of Japan, Sep. 2009, Peer-reviewed

Observation of Sound Energy Flow Around ActiveNoise Reflection Unit (ANRU)
Keisuke Imoto; Takahiro Nakashima; Shinya Kim; Shiro Ise
Proceedings of 37th International Congress and Exposition on Noise Control Engineering (INTER-NOISE) 2008, 2008, Peer-reviewed, Lead author

Misc.

A Hybrid S5 System Based on Neural Blind Source Separation
Yuto Nozaki; Shun Sakurai; Yoshiaki Bando; Kohei Saijo; Keisuke Imoto; Masaki Onishi
Technical report of task 4 of DCASE Challenge 2025, Jun. 2025

Overview of Tasks and Investigation of Subjective Evaluation Methods in Environmental Sound Synthesis and Conversion
Yuki Okamoto; Keisuke Imoto; Tatsuya Komatsu; Shinnosuke Takamichi; Takumi Yagyu; Ryosuke Yamanishi; Yoichi Yamashita
arXiv, Aug. 2019

分散マイクロホンアレイを用いた音響空間ワードの生成モデルに基づく音響シーン分類
井本桂右; 小野順貴; 新妻雅弘; 山下洋一
日本音響学会秋季研究発表会講演論文集, Sep. 2017

分散マイクロホンアレイを用いた音響イベントの空間パターン特徴表現
井本桂右; 小野順貴
日本音響学会秋季研究発表会講演論文集, Sep. 2015

Experimental study on the noise sensor arrangement for closely-aligned ANRUs
仲島崇博; 井本桂右; 伊勢史郎
社団法人日本騒音制御工学会春季研究発表会講演論文集, 2010

Presentations

下流タスク指向のオープン語彙音響イベント検出モデルの構築
櫻井舜; 坂東宜昭; 井本桂右; 大西正輝
日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, Nov. 2026

SpeechLLMを用いた説明可能な偽音声検知
小倉稜也; 山下夏生; 川口洋平; 井本桂右; 山本正明
日本音響学会 2026年秋季研究発表会, 08 Sep. 2026

意味的集合演算構造を保持する音響埋め込み空間を用いた音響イベント検出
櫻井舜; 坂東宜昭; 井本桂右; 大西正輝
日本音響学会 2026年秋季研究発表会, 09 Sep. 2026

音響研究者 meets フォーリーアーティスト～環境音・効果音生成AIに関する対談より～
岡本悠希; 渡邊雅文; 高道慎之介; 井本桂右
日本音響学会 2026年秋季研究発表会, 08 Sep. 2026

電気音響研究会のこれまでの歩みと将来展望
西浦敬信; 小野順貴; 及川靖広; 伊藤信貴; 坂東宜昭; 井本桂右; 小松達也; 北村大地; 木下裕磨; 安田昌弘
日本音響学会 2026年秋季研究発表会, 08 Sep. 2026

意味的埋め込み空間の集合演算構造を保持する音響基盤モデルの構築
櫻井舜; 坂東宜昭; 井本桂右; 大西正輝
ロボティクス・メカトロニクス講演会, Jun. 2026

既存データセットとの意図しない重複を避ける環境音評価データセットの半自動構築法
岸秀; 高道慎之介; 滝沢力; 金森勇介; 砺波紀之; 永瀬亮太郎; 井本桂右; 岡本悠希
日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, 02 Mar. 2026

現場環境音とAIを活用した作業管理システムの開発
諸橋俊大; 井本桂右
日本建築学会第25回建築の自動化技術シンポジウム, 12 Mar. 2026

深層単語ユニグラムに基づく半教師あり音響シーン分類
古賀直樹; 坂東宜昭; 井本桂右; 土屋隆生
日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, 02 Mar. 2026

オノマトペ画像を用いた音検索のためのクロスモーダル表現学習
小島大和; 井本桂右; 土屋隆生
日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, 02 Mar. 2026

音声対話における音源分離及びターンテイキング予測の同時最適化
溝渕悠朔; 井上昂治; 井本桂右; 吉井和佳; 河原達也
日本音響学会/電子情報通信学会音声研究会, 02 Mar. 2026

深層ブラインド音源分離に基づく音響イベント定位・検出・分離
坂東宜昭; 野崎雄斗; 櫻井舜; 西城耕平; 井本桂右
日本音響学会 2026年春季研究発表会, 18 Mar. 2026

イベント中心のシーン理解のための音響イベント検出 Transformerの再考
朴潤花; 櫻井舜; 坂東宜昭; 井本桂右; 大西正輝
日本音響学会 2026年春季研究発表会, 18 Mar. 2026

半自動アノテーションに基づく汎用視聴覚音響イベント物体定位・検出
櫻井舜; 坂東宜昭; 井本桂右; 大西正輝
日本音響学会 2026年春季研究発表会, 18 Mar. 2026

XACLE Challenge 2026: 環境音とテキストにおける主観的意味関連性の自動評価に向けた国際コンペティション
岡本悠希; 滝沢力; 岸秀; 金森勇介; 砺波紀之; 永瀬亮太郎; 高道慎之介; 井本桂右
日本音響学会 2026年春季研究発表会, 18 Mar. 2026

環境音に対する印象説明文データセットの構築と説明文生成の初期検討
岡本悠希; 永瀬亮太郎; 井本桂右; 山岸順一; 齋藤佑樹; 福森隆寛; 山下洋一
IDRユーザフォーラム 2025, 26 Nov. 2025

建設現場環境音と深層学習による作業推定システムの開発その4
諸橋俊大; 井本桂右; 岡尚人; 松田陸; 北原靖之; 清水靖則
日本建築学会大会学術講演会, 11 Sep. 2025

アクセント制御音声合成と主観比較評価最適化による専門家非依存アクセントアノテーション法
安田裕介; 井本桂右; 深山覚; 戸田智基
日本音響学会 2025年秋季研究発表会, Sep. 2025

学習済み環境音認識モデルの学習レス適応
砺波紀之; 河野航; 井本桂右; 矢島義之; 美島咲子; 近藤玲史; 樋野智之
日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, 28 May 2025

オープンドメイン視聴覚データセットの構築と汎用視聴覚音響イベント検出への応用
櫻井舜; 坂東宜昭; 井本桂右; 大西正輝
音学シンポジウム2025, 14 Jun. 2025

音響・テキストマルチモーダル学習に基づくプロンプト可能な音響イベント検出
神取雄大; 坂東宜昭; 井本桂右; 大西正輝
音学シンポジウム2025, 13 Jun. 2025

汎用言語音響表現 M2D-CLAP
仁泉大輔; 竹内大起; 大石康智; 原田登; 安田昌弘; 椿竣介; 井本桂右
日本音響学会 2025年春季研究発表会, 17 Mar. 2025

母語話者音声のみを用いた外国語訛りに頑健な自動音声認識の実現に向けた離散トークンの活用の検討
恩田健太郎; 深山覚; 井本桂右; 齋藤大輔; 峯松信明
日本音響学会 2025年春季研究発表会, 17 Mar. 2025

クラスベース目的音抽出における抽出スケール制御手法の検討
佐藤僚; 春田智穂; 昼間信彦; 井本桂右
日本音響学会 2025年春季研究発表会, 17 Mar. 2025

大規模事前学習済みモデルとGMM-LDAを用いたFew-Shot音響シーン分類
古賀直樹; 坂東宜昭; 井本桂右
情報処理学会第87回全国大会, 14 Mar. 2025

音響イベント検出のための隠れセミマルコフモデルに基づくユニバーサル・イベント単位学習
吉永朋矢; 田中啓太郎; 坂東宜昭; 井本桂右; 大西正輝; 森島繁生
情報処理学会第87回全国大会, 14 Mar. 2025

吉永朋矢, 田中啓太郎, 坂東宜昭, 井本桂右, 大西正輝, 森島繁生, "汎用事前学習済みモデルを用いた音響イベント検出のためのHSMMに基づくイベント単位学習," 日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, pp. xxx-xxx, 2024.
吉永朋矢; 田中啓太郎; 坂東宜昭; 井本桂右; 大西正輝; 森島繁生
日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, 24 Nov. 2024

学習済み環境音認識モデルに対する学習レス適応
砺波紀之; 井本桂右; 美島咲子; 近藤玲史; 樋野智之
日本音響学会 2024年秋季研究発表会, 06 Sep. 2024

音響イベント物体の視聴覚教師あり検出
大田竹蔵; 坂東宜昭; 井本桂右; 大西正輝
日本音響学会 2024年秋季研究発表会, 05 Sep. 2024

音源信号の数式ドリブン合成に基づく音響イベント検出の事前学習
柴田優斗; 田中啓太郎; 坂東宜昭; 井本桂右; 片岡裕雄; 青木義満
日本音響学会 2024年秋季研究発表会, 05 Sep. 2024

音響イベント検出のための隠れセミマルコフモデルに基づくイベント単位損失
吉永朋矢; 坂東宜昭; 田中啓太郎; 井本桂右; 大西正輝; 森島繁生
日本音響学会 2024年秋季研究発表会, 05 Sep. 2024

建設現場環境音と深層学習による作業推定システムの開発その３
諸橋俊大; 井本桂右; 岡尚人; 北原靖之; 松田陸
日本建築学会大会学術講演会, 29 Aug. 2024

x-to-audio: General Audio Synthesis From Various Input Prompt
Keisuke Imoto
Eighth International Workshop on Symbolic-Neural Learning (SNL) 2024, 27 Jun. 2024, Invited

Audio-change Captioning to Explain Machine-sound Anomalies
Shunsuke Tsubaki; Yohei Kawaguchi; Tomoya Nishida; Keisuke Imoto; Yuki Okamoto; Kota Dohi; Takashi Endo
日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, 22 May 2024

音響シーンと音響イベントの同時分析における継続学習の検討
井上かほり; 福本有花; 古賀直樹; 井本桂右
日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, 22 May 2024

環境音の模倣音声を利用した環境音合成とデータセット構築
岡本悠希; 井本桂右; 高道慎之介; 永瀬亮太郎; 福森隆寛; 山下洋一
日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, 22 May 2024

実時間で動作する音響イベント検出の大規模事前学習
大田竹蔵; 坂東宜昭; 井本桂右; 大西正輝
情報処理学会第86回全国大会, 15 Mar. 2024

アノテータごとのばらつきを考慮した音響イベント検出
古賀直樹; 坂東宜昭; 井本桂右
情報処理学会第86回全国大会, 15 Mar. 2024

環境音に対する日本語自由記述文コーパスとベンチマーク分析
岡本悠希; 高道慎之介; 森松亜衣; 渡邊亞椰; 井本桂右; 山下洋一
言語処理学会第30回年次大会, 12 Mar. 2024

環境音分析における事前学習済みモデルのバイアス調査
井上かほり; 井本桂右
日本音響学会 2024年春季研究発表会, 07 Mar. 2024

これから始める環境音分析・合成
井本桂右
日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, 01 Mar. 2024, Invited

環境音の模倣音声を用いた環境音合成の検討とデータセット構築
岡本悠希; 井本桂右; 高道慎之介; 永瀬亮太郎; 福森隆寛; 山下洋一
IDRユーザフォーラム 2023, 11 Dec. 2023

調理音とレシピテキストを用いた調理工程の推定
岩川光一; 井本桂右
IDRユーザフォーラム 2023, 11 Dec. 2023

光ファイバセンシングのための学習済み環境音認識モデルを用いたイベント分類
砺波紀之; 美島咲子; 近藤玲史; 井本桂右; 樋野智之
日本音響学会 2023年秋季研究発表会, 28 Sep. 2023

距離に基づく音源分離を用いたシングルチャンネル環境音分類
小倉稜也; 井本桂右; 貴家仁志; 塩田さやか
日本音響学会 2023年秋季研究発表会, 28 Sep. 2023

複数仮説トラッキングに基づく音響イベント定位・検出
坂東宜昭; 井本桂右; 升山義紀; 佐々木洋子
日本音響学会 2023年秋季研究発表会, 27 Sep. 2023

時間的連続性を導入した視聴覚自己教師あり学習に基づく音響イベント検出
大田竹蔵; 坂東宜昭; 井本桂右; 大西正輝
日本音響学会 2023年秋季研究発表会, 27 Sep. 2023

イベント間の共起構造を導入した隠れセミマルコフモデルに基づく音響イベント検出
吉永朋矢; 坂東宜昭; 井本桂右; 大西正輝; 森島繁生
日本音響学会 2023年秋季研究発表会, 27 Sep. 2023

Voice-to-foley: 環境音を模倣した音声を入力とする環境音合成
岡本悠希; 井本桂右; 高道慎之介; 永瀬亮太郎; 福森隆寛; 山下洋一
日本音響学会 2023年秋季研究発表会, 26 Sep. 2023

建設現場環境音と深層学習による作業推定システムの開発その２
諸橋俊大; 井本桂右; 岡尚人; 北原靖之
日本建築学会大会学術講演会, 13 Sep. 2023

環境音の分析・合成と自然言語処理との交差点
井本桂右
NLP若手の会 (YANS) 第18回シンポジウム, 31 Aug. 2023, Invited

Introduction to DCASE Challenge
Keisuke Imoto
Annual Meeting of Acoustical Society of Japan, 17 Mar. 2023, Invited

Distinguishing Conspecific Bats by Their Echolocation Calls Using a Convolutional Neural Network
Andreas Mayer; Soshi Yoshida; Keisuke Imoto; Shizuko Hiryu
日本音響学会 2023年春季研究発表会, 15 Mar. 2023

DCASECaps: 単一音源に説明文を付与した環境音データセット
Yuki Okamoto; Keisuke Imoto; Kota Dohi; Yohei Kawaguchi
日本音響学会 2023年春季研究発表会, 15 Mar. 2023

視聴覚自己教師あり学習に基づく音響イベント検出
大田竹蔵; 坂東宜昭; 井本桂右; 大西正輝
情報処理学会第85回全国大会, 03 Mar. 2023

半教師あり学習に基づく音響シーンと音響イベントの同時分析
五十嵐彩美; 椿竣介; 井本桂右
電子情報通信学会音声研究会, 01 Mar. 2023

距離に基づく音源分離を用いたシングルチャンネル環境音分類
小倉稜也; 塩田さやか; 井本桂右; 貴家仁志
電子情報通信学会音声研究会 (ショートオーラルセッション), 28 Feb. 2023

Visual onoma-to-wave：画像オノマトペと音源画像を利用した環境音合成の提案
大中緋慧; 高道慎之介; 井本桂右; 岡本悠希; 藤井一貴; 猿渡洋
電子情報通信学会音声研究会, 28 Feb. 2023

音響イベント定位・検出のための全方位動画と多チャネル音響信号を用いた自己教師あり学習
藤田陽斗; 坂東宜昭; 井本桂右; 大西正輝; 吉井和佳
電子情報通信学会音声研究会, 28 Feb. 2023

Recent Advances in Environmental Sound Analysis and Synthesis using Domain Knowledge
Keisuke Imoto
The 144th Robotics Seminar, Robotics Society of Japan (RSJ), 18 Nov. 2022, Invited

音響イベントトリアージ：クラスの優先度を考慮したイベント検出
砺波紀之; 井本桂右
日本音響学会 2022年秋季研究発表会, 16 Sep. 2022

建設現場環境音を用いた作業管理システムの開発－音源定位と深層学習による作業推定技術の適用－
諸橋俊大; 井本桂右; 吉田康仁; 岡尚人
日本音響学会 2022年秋季研究発表会, 16 Sep. 2022

環境音合成の入力情報に応じた主観評価手法の検討
岡本悠希; 井本桂右; 高道慎之介; 福森隆寛; 山下洋一
日本音響学会 2022年秋季研究発表会, 15 Sep. 2022

建設現場環境音と深層学習による作業推定システムの開発
諸橋俊大; 井本桂右; 吉田康仁; 岡尚人
日本建築学会大会学術講演会, 06 Sep. 2022

Environmental Sound Extraction Using Onomatopoeia
Yuki Okamoto; Shota Horiguchi; Masaaki Yamamoto; Keisuke Imoto; Yohei Kawaguchi
日本音響学会 2022年春季研究発表会, Mar. 2022

音響イベントの強ラベル付与におけるアノテーター間のばらつきの分析
井本桂右; 賀谷采珠; 椿竣介
日本音響学会 2022年春季研究発表会, Mar. 2022

弱ラベルを用いた音響シーンとイベントの同時分析
椿竣介; 宇都瑛祐; 井本桂右; 小野順貴
日本音響学会 2022年春季研究発表会, Mar. 2022

音響シーンとイベントが相互に及ぼす影響の調査
小松由佳; 井本桂右; 小松達也
日本音響学会 2022年春季研究発表会, Mar. 2022

グラフ深層学習を用いた音響イベントとシーンの同時分析
髙橋皓大; 井本桂右; 土屋隆生
日本音響学会 2022年春季研究発表会, Mar. 2022

事前定義されていないシーン情報を利用可能な音響イベント検出
砺波紀之; 井本桂右; 永瀬亮太郎; 岡本悠希; 福森隆寛; 山下洋一
日本音響学会 2022年春季研究発表会, Mar. 2022

Multi-channel Missing Signals Recovery Using Autoencoder for Acoustic Scene Classification
城間佑樹; 木下裕磨; 井本桂右; 塩田さやか; 小野順貴; 貴家仁志
日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, Mar. 2022

環境音合成における主観評価手法の検討
岡本悠希; 井本桂右; 高道慎之介; 福森隆寛; 山下洋一
日本音響学会 2022年春季研究発表会, Mar. 2022

Fundamentals and Recent Advances in Environmental Sound Analysis
Keisuke Imoto
Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 14 Dec. 2021, Asia Pacific Signal and Information Processing Association, Invited

RWCP音声・音響データベースを用いた環境音・効果音合成の検討とオノマトペ拡張データセットの構築
井本桂右; 岡本悠希; 高道慎之介; 山下洋一
IDRユーザフォーラム, 22 Nov. 2021

Transformer を用いたオノマトペからの環境音合成
岡本悠希; 井本桂右; 高道慎之介; 山西良典; 福森隆寛; 山下洋一
日本音響学会 2021 年秋季研究発表会, 09 Sep. 2021

音響イベントとシーンのマルチタスク学習における評価関数の重みの自動調整
岩前玲那; 白波瀬壮; 高橋皓大; 井本桂右; 土屋隆生
日本音響学会2021年春季研究発表会, Feb. 2021

音響イベント長とイベント非活性区間長の不均衡が検出性能に及ぼす影響
井本桂右; 美島咲子; 荒井友督; 近藤玲史
日本音響学会2021年春季研究発表会, Feb. 2021

Onoma-to-wave: オノマトペからの環境音合成手法の提案
岡本悠希; 井本桂右; 高道慎之介; 山西良典; 福森隆寛; 山下洋一
日本音響学会2021年春季研究発表会, Feb. 2021

環境音の特徴を活用した音響イベント検出・シーン分類
井本桂右
産業技術総合研究所第46回AIセミナーAIによる音環境理解を目的とした環境音分析」, 26 Feb. 2021, Invited

あらゆる音を理解可能な人工聴覚のための環境音認識技術と異常音検知技術
井本桂右
北陸先端科学技術大学院大学情報科学系セミナー, 24 Feb. 2021, Invited

環境音分析ことはじめ
井本桂右
日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, Oct. 2020, Invited

ニュートラル音声の特性を考慮したソフトラベルによる感情分類モデル学習
大澤まゆ子; 井本桂右; 山西良典; 福森隆寛; 山下洋一
日本音響学会2020年秋季研究発表会, Sep. 2020

音響シーンを用いて検出誤りの深刻さを考慮したイベント検出の評価指標
砺波紀之; 井本桂右; 福森隆寛; 山下洋一
日本音響学会2020年秋季研究発表会, Sep. 2020

音声に含まれる感情の認識に向けた感情の性質を考慮したソフトラベル学習
大澤まゆ子; 井本桂右; 山西良典; 山下洋一
日本音響学会音声研究会/電子情報通信学会音声研究会, Mar. 2020

朗読音声を用いたノンパラレル声質変換による変換音声の話者性と表現の評価
永瀬亮太郎; 井本桂右; 山西良典; 山下洋一
日本音響学会音声研究会/電子情報通信学会音声研究会, Mar. 2020

スキャットを含む多人数歌唱データベースに対する歌唱表現の分析
芦田紘輝; 井本桂右; 山西良典; 山下洋一
日本音響学会 2020年春季研究発表会, Mar. 2020

オノマトペを用いた環境音合成のためのデータセット構築とその分析
岡本悠希; 井本桂右; 高道慎之介; 山西良典; 山下洋一
日本音響学会 2020年春季研究発表会, Mar. 2020

環境音分析におけるマルチタスク学習の損失関数に対するアニーリングの検討
田中良樹; 砺波紀之; 井本桂右; 山西良典; 山下洋一
日本音響学会 2020年春季研究発表会, Mar. 2020

音の継続長の違いと検出難度を考慮した音響イベント検出
秋山大知; 井本桂右; 山西良典; 山下洋一
日本音響学会 2020年春季研究発表会, Mar. 2020

深層学習に基づく時間周波数マスクと音響強度ベクトルを利用した音響イベント定位
安田昌弘; 小泉悠馬; 斎藤翔一郎; 植松尚; 井本桂右
日本音響学会 2020年春季研究発表会, Mar. 2020

ToyADMOS: 異常音検知のためのおもちゃ稼働音データセット
小泉悠馬; 齊藤翔一郎; 植松尚; 原田登; 井本桂右
日本音響学会 2020年春季研究発表会, Mar. 2020

RU Multichannel Domestic Acoustic Scenes 2019: 複数デバイスで構成された分散マイクアレイによる音響シーン分析のための環境音データセット
井本桂右; 小野順貴
日本音響学会 2020年春季研究発表会, Mar. 2020

Experimental study of robustness to spatial information in spatial cepstrum
Taiga Kawamura; Ryoichi Miyazaki; Keisuke Imoto
日本音響学会電気音響研究会/電子情報通信学会応用音響研究会, 12 Dec. 2019

多様な環境⾳の合成をめざして ~環境⾳合成における評価⽅法の検討~
岡本悠希; 井本桂右; 小松達也; 高道慎之介; 柳生拓⺒; 山⻄良典; 山下洋一
⽇本⾳響学会関⻄⽀部第22回若⼿研究者交流研究発表会, Nov. 2019

エンターテイメントコンテンツのラベル付きデータとしての活用可能性
田中一星; 井本桂右; 山西良典; 山下洋一
情報処理学会エンターテインメントコンピューティングシンポジウム, Sep. 2019

ダンスゲーム譜面の特性分析とクラスタリングに基づく特徴的な譜面の自動生成
辻野雄大; 山西良典; 山下洋一; 井本桂右
情報処理学会エンターテインメントコンピューティングシンポジウム, Sep. 2019

単一発話での学習話者選択を用いた音声における感情認識
秋山大知; 石川智希; 井本桂右; 新妻雅弘; 山西良典; 山下洋一
日本音響学会 2019年秋季研究発表会, Sep. 2019

多様な環境音の合成と変換のための基礎検討
岡本悠希; 柳生拓巳; 井本桂右; 小松達也; 高道慎之介; 山西良介; 山下洋一
日本音響学会 2019年秋季研究発表会, Sep. 2019

音響シーンの知識蒸留を用いた音響イベント検出
砺波紀之; 井本桂右; 山西良典; 山下洋一
日本音響学会 2019年秋季研究発表会, Sep. 2019

物理的特徴からの音楽印象推定における日中比較
DI Chongru; 新妻雅弘; 井本桂右; 山西良典; 山下洋一
日本音響学会 2019年春季研究発表会, Mar. 2019

マルチタスク学習に基づく音響シーンとイベントの同時分析
砺波紀之; 井本桂右; 新妻雅弘; 山西良典; 山下洋一
日本音響学会 2019年春季研究発表会, Mar. 2019

音響イベントの共起に基づくグラフラプラシアン正則化を用いたイベント検出
井本桂右; 京地清介
日本音響学会 2019年春季研究発表会, Mar. 2019

Acoustic Event and Scene Analysis: Recent Advances and Challenges
Keisuke Imoto
日本音響学会 2019年春季研究発表会, Mar. 2019, Invited

感情音声認識のための学習話者選択に関する検討
石川智希; 井本桂右; 新妻雅弘; 山西良典; 山下洋一
日本音響学会 2018年秋期研究発表会, Sep. 2018

音声における快-不快の程度推定のための学習データの検討
金田光平; 井本桂右; 新妻雅弘; 山西良典; 山下洋一
日本音響学会 2018年秋期研究発表会, Sep. 2018

多数話者データで学習するDNN音声合成システム
Yuhan Lin; 井本桂右; 新妻雅弘; 山西良典; 山下洋一
日本音響学会 2018年秋期研究発表会, Sep. 2018

Crow Sound Detection based on Gated CRNN
Keisuke Imoto; Katsuaki Ikehara; Naoki tsukahara; Ken Nagata; Koh Sueda; Ryosuke Yamanishi; Yoichi Yamashita
日本音響学会 2018年秋季研究発表会, Sep. 2018

DNN音声合成のための話者情報の表現方法の検討
Yuhan Lin; 井本桂右; 新妻雅弘; 山西良典; 山下洋一
日本音響学会音声研究会, Aug. 2018

Fundamentals and Research Trends on Acoustic Event and Scene Analysis
Keisuke Imoto
電子情報通信学会音声研究会/情報処理学会音声言語情報処理研究会, 26 Jul. 2018, Invited

ヘブナーの円環モデルを用いた非和声音の聴覚的効果の定量的評価
牧野晃大; 新妻雅弘; 井本桂右; 山下洋一
日本音楽知覚認知学会平成30年度春季研究発表会/日本音響学会音楽音響研究会, Jun. 2018

自動生成型音響モデルに基づく室内環境音識別のための未知音源クラスタリングの性能評価
美島咲子; 若林佑幸; 福森隆寛; 井本桂右; 中山雅人; 西浦敬信
電子情報通信学会信号処理研究会, Mar. 2018

楽曲推薦のためのCM楽曲の印象評価
向田和幸; 新妻雅弘; 井本桂右; 山下洋一; 山西良典
日本音響学会 2018年春期研究発表会, Mar. 2018

Indivisualities in music-induced movement
Masahiro Niitsuma; Keisuke Imoto; Yoichi Yamashita
日本音響学会 2018年春期研究発表会, Mar. 2018

A study of automatically constructed acoustic model based on unsupervised clustering for indoor environmental sound classification
Sakiko Mishima; Yukoh Wakabayashi; Takahiro Fukumori; Keisuke Imoto; Masato Nakayama; Takanobu Nishiura
日本音響学会 2018年春期研究発表会, Mar. 2018

Acoustic Scene Analysis Based on Graph Cepstrum
Keisuke Imoto; Seisuke Kyochi
日本音響学会 2018年春期研究発表会, Mar. 2018

Emotion recognition in speech by training with other language speakers,
Shichuan Li; Masahiro Niitsuma; Keisuke Imoto; Yoichi Yamashita
日本音響学会 2017年秋期研究発表会, Sep. 2017

Classification of commercials music based on product concepts using acoustic features
Kazuyuki Mukoda; Masahiro Niitsuma; Keisuke Imoto; Yoichi Yamashita
日本音響学会 2017年秋期研究発表会, Sep. 2017

Automatic estimation of the degree of pleasantness for emotion recognition in speech,
Kohei Kaneda; Masahiro Niitsuma; Keisuke Imoto; Yoichi Yamashita
日本音響学会 2017年秋期研究発表会, Sep. 2017

Emotion recognition in speech using speaker selection in training data
Tomoki Ishikawa; Masahiro Niitsuma; Keisuke Imoto; Yoichi Yamashita
日本音響学会 2017年秋期研究発表会, Sep. 2017

Identifying personality in movement patterns and induced emotions
Masahiro Niitsuma; Keisuke Imoto; Yoichi Yamashita
日本音響学会 2017年秋期研究発表会, Sep. 2017

Acoustic Scene Classification Based on Generative Model of Acoustic Spatial Word Using Distributed Microphone Array
Keisuke Imoto; Nobutaka Ono; Masahiro Niitsuma; Yoichi Yamashita
日本音響学会 2017年秋期研究発表会, Sep. 2017

Spatial Feature Representation of Acoustic Event Using Distributed Microphone Array
Keisuke Imoto; Nobutaka Ono
日本音響学会 2015年秋季研究発表会, Sep. 2015

イベント遷移を考慮した音響トピックモデルによる欠損を含む観測からの音響シーン推定
井本桂右; 小野順貴; 植松尚; 大室仲
日本音響学会 2014年秋季研究発表会, 05 Sep. 2014

音響イベント列を利用した音響シーン分析のためのオンライン学習手法
Keisuke Imoto; Gagnon Shaigetz Vincent; Hisashi Uematsu; Hitoshi Ohmuro
日本音響学会 2014年春期研究発表会, Mar. 2014

音響イベント列を利用した音響シーン分析のためのモデル学習とオンライン化の検討
Keisuke Imoto; Gagnon Shaigetz Vincent; Hisashi Uematsu; Hitoshi Ohmuro
音学シンポジウム, 2014

音響イベントとトピックを用いた音響特徴量列の生成モデルに基づく音響シーン分析
Keisuke Imoto; Yasunori Ohishi; Hisashi Uematsu; Hitoshi Ohmuro
日本音響学会 2013年秋期研究発表会, Sep. 2013

音響イベント列の確率的生成モデルを利用した音響トピックとユーザ行動との関係分析
井本桂右; 島内末廣; 植松尚; 大室仲; 羽田陽一
日本音響学会研究発表会講演論文集(CD-ROM), 05 Mar. 2013

音響イベントを用いた人の行動の確率的生成モデルによる行動識別手法の検討
井本桂右; 島内末廣; 大室仲; 羽田陽一
日本音響学会研究発表会講演論文集(CD-ROM), 11 Sep. 2012

音響イベントのクラスタ分類に基づく行動識別手法の検討
井本桂右; 島内末廣; 大室仲; 羽田陽一
日本音響学会研究発表会講演論文集(CD-ROM), 06 Mar. 2012

複数の生活音の出現頻度に基づくユーザ行動の識別手法とコミュニケーションへの応用
井本桂右; 野口賢一; 島内末廣; 大室仲; 羽田陽一
画像電子学会VMA研究会, 16 Jan. 2012

ANRUの並列設置におけるノイズセンサの配置に関する検討
仲島崇博; 井本桂右; 伊勢史郎
日本騒音制御工学会研究発表会講演論文集, 22 Apr. 2010

ANRUにおける参照マイクロホンの設置に関する検討
井本桂右; 仲島崇博; 伊勢史郎
日本音響学会研究発表会講演論文集(CD-ROM), 01 Mar. 2010

Experimental study on the noise sensor arrangement for closely-aligned ANRUs
仲島崇博; 井本桂右; 伊勢史郎
Proceedings of the spring meeting, the Institute of Noise Control Engineering of Japan, 2010

建築躯体に組み込み可能な新型Active Noise Reflection Unit(ANRU)の提案―実環境における実験的検討―
井本桂右; 仲島崇博; 森山欣昭; 伊勢史郎
日本音響学会研究発表会講演論文集(CD-ROM), 08 Sep. 2009

建築躯体に組み込み可能な新型Active Noise Reflection Unit(ANRU)の提案―空間的コスト・煩雑さを軽減したシステムの開発―
森山欣昭; 仲島崇博; 井本桂右; 伊勢史郎
日本音響学会研究発表会講演論文集(CD-ROM), 08 Sep. 2009

アクティブノイズリフレクションユニットの性能評価‐ANRU周辺でのインテンシティ分布の測定‐
金慎也; 仲島崇博; 井本桂右; 伊勢史郎
日本音響学会研究発表会講演論文集(CD-ROM), 10 Mar. 2008

アクティブノイズリフレクションユニットの性能評価‐数値シミュレーションによる音場解析‐
井本桂右; 仲島崇博; 金慎也; 伊勢史郎
日本音響学会研究発表会講演論文集(CD-ROM), 10 Mar. 2008

Books and Other Publications

音響学入門ペディア
日本音響学会, Joint work
コロナ社, 22 Feb. 2017, Not refereed
Find Kyoto University's collection of books :

Industrial Property Rights

特願2020-101291, 音響モデル生成方法、音響分析方法、演算装置、及び、コンピュータプログラム
Keisuke Imoto; Daichi Akiyama; Ryosuke Yamanishi; Yoichi Yamashita

特許6396829, 特開2016-174233, 特願2015-052501, 情報処理装置、判定方法及びコンピュータプログラム
Keisuke Imoto

特許6367691, 特開2016-095434, 特願2014-232317, 報知音感知・識別装置、報知音感知・識別方法、報知音感知・識別プログラム
Yuma Koizumi; Keisuke Imoto; Hisashi Uematsu; Hitoshi Ohmuro

特許6316669, 特開2016-004054, 特願2014-122063, 状況モデル学習装置、その方法及びプログラム
Keisuke Imoto; Hisashi Uematsu; Hitoshi Ohmuro

特許6294747, 特開2015-206974, 特願2014-089043, 報知音感知装置、報知音感知方法及びプログラム
Hitoshi Ohmuro; Keisuke Imoto; Hisashi Uematsu

特許6241790, 特開2016-042123, 特願2014-165407, 生成モデル作成装置、推定装置、それらの方法およびプログラム
Keisuke Imoto; Hisashi Uematsu; Hitoshi Ohmuro; Nobutaka Ono

特許6220694, 特開2015-111232, 特願2014-027139, モデル処理装置、その方法、およびプログラム
Keisuke Imoto; Hisashi Uematsu; Hitoshi Ohmuro

特許6114209, 特開2015-148740, 特願2014-022040, モデル処理装置、モデル処理方法、およびプログラム
Keisuke Imoto; Hisashi Uematsu; Hitoshi Ohmuro

特許6093670, 特開2015-031944, 特願2013-164025, モデル処理装置、モデル処理方法、およびプログラム
Keisuke Imoto; Hisashi Uematsu; Hitoshi Ohmuro

特許6078441, 特開2015-028579, 特願2013-182435, モデル処理装置、分析装置、それらの方法およびプログラム
Keisuke Imoto; Hisashi Uematsu

特許5968414, 特開2015-079273, 特願2014-257302, 発呼適否通知装置とその方法と、プログラム
Keisuke Imoto; Suehiro Shimauchi; Yoichi Haneda

特許5818759, 特開2014-048522, 特願2012-192225, 状況生成モデル作成装置、状況推定装置、およびプログラム
井本桂右; 島内末廣; 大室仲; 羽田陽一

特許5800718, 特開2013-142870, 特願2012-004329, 特定状況モデルデータベース作成装置とその方法と状況推定装置とプログラム
Keisuke Imoto; Suehiro Shimauchi; Yoichi Haneda

特許5783979, 特開2014-048521, 特願2012-192224, 生成モデル作成装置及び推定装置
井本桂右; 島内末廣; 大室仲; 羽田陽一

特許5781040, 特開2014-048523, 特願2012-192226, 行動推定装置およびそのプログラム
井本桂右; 島内末廣; 大室仲; 羽田陽一

特許5777567, 特開2013-242462, 特願2012-116346, 音響特徴量計算装置及び方法、特定状況モデルデータベース作成装置、特定要素音モデルデータベース作成装置、状況推定装置、発呼適否通知装置並びにプログラム
井本桂右; 島内末廣; 大室仲; 羽田陽一

特許5777569, 特開2013-242465, 特願2012-116377, 音響特徴量計算装置及び方法、特定状況モデルデータベース作成装置、特定要素音モデルデータベース作成装置、状況推定装置、発呼適否通知装置並びにプログラム
井本桂右; 島内末廣; 大室仲; 羽田陽一

特許5777568, 特開2013-242463, 特願2012-116360, 音響特徴量計算装置及び方法、特定状況モデルデータベース作成装置、特定要素音モデルデータベース作成装置、状況推定装置、発呼適否通知装置並びにプログラム
井本桂右; 島内末廣; 大室仲; 羽田陽一

特許5620350, 特開2013-055536, 特願2011-192849, 場内拡声方法、場内拡声装置とそのプログラム
井本桂右; 羽田陽一; 島内末廣

特開2013-005106, 特願2011-132452, 場内拡声装置、場内拡声方法、及びそのプログラム
井本桂右; 島内末廣; 羽田陽一

Awards

22 Oct. 2025
Asia Pacific Signal and Information Processing Association, The 10th APSIPA Sadaoki Furui Prize Paper Award (Research paper award)
Onoma-to-wave: Environmental Sound Synthesis from Onomatopoeic Words
Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryosuke Yamanishi, Takahiro Fukumori, and Yoichi Yamashita

22 Mar. 2018
第33回電気通信普及財団賞（テレコムシステム技術賞）奨励賞

26 Sep. 2013
日本音響学会粟屋潔学術奨励賞

16 May 2020
日本音響学会論文賞佐藤賞

External funds: Kakenhi

Sound event detection method capable of analyzing any environmental sound
Grant-in-Aid for Early-Career Scientists
Basic Section 61010:Perceptual information processing-related
Doshisha University;Ritsumeikan University
Keisuke Imoto
From 01 Apr. 2019, To 31 Mar. 2022, Project Closed
環境音分析;音響イベント検出;音響シーン分類;マルチタスク学習;スパース性;不均衡データ;グラフラプラシアン正則化;ケプストラム;音響シーン分析
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19K20304/

Deepening of Array Signal Processing Theory Expanded to Asynchronous Distributed Channels and Real-World Applications
Grant-in-Aid for Scientific Research (A)
Tokyo Metropolitan University;National Institute of Informatics
Nobutaka Ono
From 01 Apr. 2016, To 31 Mar. 2020, Project Closed
非同期;分散;マイクロフォンアレー;音源分離;音源定位;マイクロホンアレイ;音響シーン認識;マイクロホンアレー;マイクアレー;マイク定位
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16H01735/

A study on environmental sound analysis based on unified and continual learning
Grant-in-Aid for Early-Career Scientists
Basic Section 61010:Perceptual information processing-related
Doshisha University
井本桂右
From 01 Apr. 2023, To 31 Mar. 2026, Granted
環境音分析;音響シーン分類;音響イベント検出;音響キャプション生成;継続学習;統一学習;コーパス;深層学習
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23K16908/

Research on retriving speech and acoustic dark data
Grant-in-Aid for Scientific Research (B)
Basic Section 61030:Intelligent informatics-related
Keio University;The University of Tokyo
高道慎之介
From 01 Apr. 2024, To 31 Mar. 2026, Granted
音声認識合成;音響認識合成;ダークデータ;コーパス
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23K24895/

Innovation of speech / acoustic scene recognition based on distributed acoustic sensing and asynchronous sequence modeling
Grant-in-Aid for Scientific Research (A)
Medium-sized Section 61:Human informatics and related fields
Tokyo Metropolitan University
Ono Nobutaka
From 01 Apr. 2020, To 31 Mar. 2024, Project Closed
分散マイクロホンアレイ;分散音響センシング;音声認識;音響シーン認識;音源分離;同期;音光変換;ブリンキー;非同期
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20H00613/

Speech recognition and dialogue system for robots participating in multi-party conversations
Grant-in-Aid for Scientific Research (A)
Medium-sized Section 61:Human informatics and related fields
Kyoto University
河原達也
From 01 Apr. 2025, To 31 Mar. 2029, Granted
音声認識;音声対話;多人数会話
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-25H01142/

Last Updated :2026/10/20

Education

Teaching subject(s)

From 01 Apr. 2026, To 31 Mar. 2027
Pattern Recognition, Adv.
3165, Spring, Graduate School of Informatics, 2

From 01 Apr. 2026, To 31 Mar. 2027
Speech Processing, Adv.
3129, Fall, Graduate School of Informatics, 2

From 01 Apr. 2026, To 31 Mar. 2027
Introductory Statistics
N801, Spring, Institute for Liberal Arts and Sciences, 2

From 01 Apr. 2026, To 31 Mar. 2027
Introductory Statistics
N801, Fall, Institute for Liberal Arts and Sciences, 2

From 01 Apr. 2026, To 31 Mar. 2027
Computer Science Laboratory and Exercise 4
9039, Fall, Faculty of Engineering, 3

From 01 Apr. 2025, To 31 Mar. 2026
Pattern Recognition, Adv.
3165, Spring, Graduate School of Informatics, 2

From 01 Apr. 2025, To 31 Mar. 2026
Speech Processing, Adv.
3129, Fall, Graduate School of Informatics, 2

From 01 Apr. 2025, To 31 Mar. 2026
Computer Science Laboratory and Exercise 4
9039, Fall, Faculty of Engineering, 3

Participation in PhD Defense

Open-vocabulary, Cross-modal, and Efficient Sound Event Localization and Detection
SHIMADA KAZUKI, Graduate School of Informatics, Sub-chief Examiner
24 Sep. 2025

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Imoto, Keisuke

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Industrial Property Rights

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External funds: Kakenhi

Education

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Participation in PhD Defense

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