Journals

1. Kayo Nada, Keisuke Imoto, and Takao Tsuchiya, ``Joint Analysis of Acoustic Scenes and Sound Events Based on Multitask Learning with Dynamic Weight Adaptation,'' Acoustical Science and Technology, Vol. 44, No. 3, pp. 167-175, 2023. [J-STAGE] [pdf]

2. Yuki Shiroma, Yuma Kinoshita, Keisuke Imoto, Sayaka Shiota, Nobutaka Ono, and Hitoshi Kiya, ``Missing Data Completion of Multi-Channel Signals Using Autoencoder for Acoustic Scene Classification,'' APSIPA Transactions on Signal and Information Processing, Vol. 12, No. 3, e16, 2023. [now publishers] [pdf]

3. Noriyuki Tonami and Keisuke Imoto, ``Sound Event Triage: Detecting Sound Events Considering Priority of Classes,'' EURASIP Journal on Audio, Speech, and Music Processing, Vol. 2023, No. 5, pp. 1-13, 2023. [SpringerOpen] [pdf]

4. Keisuke Imoto, Sakiko Mishima, Yumi Arai, and Reishi Kondo, ``Impact of Data Imbalance Caused by Inactive Frames and Difference in Sound Duration on Sound Event Detection Performance,'' Applied Acoustics, Vol. 196, 108882, 2022. [ScienceDirect] [pdf]

5. Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryosuke Yamanishi, Takahiro Fukumori, and Yoichi Yamashita, ``Onoma-to-wave: Environmental Sound Synthesis from Onomatopoeic Words,'' APSIPA Transactions on Signal and Information Processing, Vol. 11, No. 1, e13, 2022. [now publishers] [pdf]

6. Noriyuki Tonami, Keisuke Imoto, Ryosuke Yamanishi, and Yoichi Yamashita, ``Joint Analysis of Sound Events and Acoustic Scenes Using Multitask Learning,'' IEICE Transactions on Information and Systems, Vol. E104-D, No. 02, pp. 294-301, 2021. [J-STAGE] [pdf] (Copyright © 2021 IEICE)

7. Keisuke Imoto and Seisuke Kyochi, ``Sound Event Detection Utilizing Graph Laplacian Regularization with Event Co-occurrence,'' IEICE Transactions on Information and Systems, Vol. E103-D, No. 09, pp. 1971-1977, 2020. [J-STAGE] [pdf] (Copyright © 2020 IEICE)

8. Keisuke Imoto, ``Graph Cepstrum: Spatial Feature Extracted from Partially Connected Microphones,'' IEICE Transactions on Information and Systems, Vol. E103-D, No. 03, pp. 631-638, 2020. [J-STAGE] [pdf] (Copyright © 2020 IEICE)

9. Keisuke Imoto and Nobutaka Ono, ``Acoustic Topic Model for Scene Analysis with Intermittently Missing Observations,'' IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 27, No. 2, pp. 367-382, 2019. [IEEE Xplore] [pdf]

10. Keisuke Imoto, ``Introduction to Acoustic Event and Scene Analysis,'' Acoustical Science and Technology, Vol. 39, No. 3, pp. 182-188, 2018. [J-STAGE] [pdf]

11. Keisuke Imoto and Nobutaka Ono, ``Spatial Cepstrum as a Spatial Feature Using a Distributed Microphone Array for Acoustic Scene Analysis,'' IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 25, No. 6, pp. 1335-1343, 2017. [IEEE Xplore] (The Telecom System Technology Award)

12. Keisuke Imoto and Suehiro Shimauchi, ``Acoustic Scene Analysis Based on Hierarchical Generative Model of Acoustic Event Sequence,'' IEICE Transactions on Information and Systems, Vol. E99-D, No. 10, pp. 2539-2549, Oct. 2016. [J-STAGE] [pdf] (Copyright © 2016 IEICE)

13. Noriyuki Tonami, Keisuke Imoto, Yuki Okamoto, Takahiro Fukumori, and Yoichi Yamashita, ``Evaluation Metric for Sound Event Detection Considering Severity of Misdetections,'' Journal of Acoustical Society of Japan, Vol. 78, No. 5, pp. 217-226, 2022. (in Japanese) [J-STAGE] [pdf]

14. Daichi Akiyama, Tomoki Ishikawa, Keisuke Imoto, Masahiro Niitsuma, Ryosuke Yamanishi, and Yoichi Yamashita, ``Speaker selection for speech emotion recognition,'' Journal of Acoustical Society of Japan, Vol. 76, No. 10, pp. 554-561, 2020. (in Japanese) [J-STAGE] [pdf]

15. Keisuke Imoto, Naoki Tsukahara, Ken Nagata, Koh Sueda, ``Crow Call Detection based on Gated CRNN,'' Journal of Acoustical Society of Japan, Vol. 75, No. 10, pp. 559-567, 2019. (in Japanese) [J-STAGE] [pdf] (The 60th Sato prize ASJ Paper Award)

16. Keisuke Imoto, Yasunori Ohishi, Hisashi Uematsu, Hitoshi Ohmuro, and Nobutaka Ono, ``Online Acoustic Scene Analysis with Sequentially Obtained Acoustic Event Sequence,'' Journal of Acoustical Society of Japan, Vol. 72, No. 6, pp. 293-305, 2016. (in Japanese) [J-STAGE] [pdf]

17. Ryosuke Yamanishi, Issei Tanaka, Keisuke Imoto, and Yoichi Yamashita, ``Application Vision of Web Speech Mining from Vocal Entertainment Contents,'' IPSJ Journal, vol. 61, no. 11, pp. 1708-1717, 2020. (in Japanese) [pdf]

18. Yudai Tsujino, Ryosuke Yamanishi, Yoichi Yamashita, and Keisuke Imoto, ``Generation of Characteristic Charts Based on Analyzing and Clustering Charts of Dance Games,'' IPSJ Journal, vol. 61, no. 11, pp. 1718-1728, 2020. (in Japanese) [pdf]

19. Takahiro Nakashima, Shinya Kim, Keisuke Imoto, and Shiro Ise, ``Effect of Active Noise Reflection Unit (ANRU) on Noise Reduction,'' Journal of Acoustical Society of Japan, Vol. 65, No. 9, pp. 461-468, 2009. (in Japanese) [J-STAGE] [pdf]

Conference Papers

1. New!! Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryotaro Nagase, Takahiro Fukumori, and Yoichi Yamashita, ``Environmental Sound Synthesis From Vocal Imitations and Sound Event Labels,'' Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 411-415, 2024. [IEEE Xplore] [pdf] (Outstanding Student Paper Award from Graduate School of Information Science and Engineering, Ritsumeikan University, 2024)

2. New!! Kevin Wilkinghoff and Keisuke Imoto, ``F1-EV Score: Measuring the Likelihood of Estimating a Good Decision Threshold for Semi-supervised Anomaly Detection,'' Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 256-260, 2024. [IEEE Xplore] [pdf]

3. Yoto Fujita, Yoshiaki Bando, Keisuke Imoto, Masaki Onishi, and Kazuyoshi Yoshii, ``DOA-Aware Audio-Visual Self-Supervised Learning for Sound Event Localization and Detection,'' Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 2037-2043, 2023. [IEEE Xplore] [pdf]

4. Ami Igarashi, Shunsuke Tsubaki, Daisuke Niizumi, Daiki Takeuchi, Noboru Harada, and Keisuke Imoto, ``Joint Analysis of Acoustic Scenes and Sound Events Based on Semi-Supervised Approach,'' Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 2050-2056, 2023. [IEEE Xplore] [pdf]

5. Keunwoo Choi, Jaekwon Im, Laurie Heller, Mathieu Lagrange, Keisuke Imoto, Yuki Okamoto, Shinnosuke Takamichi, and Brian McFee, ``Foley Sound Synthesis at the DCASE 2023 Challenge,'' Proc. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 16-20, 2023. [pdf]

6. Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Takashi Endo, Masaaki Yamamoto, and Yohei Kawaguchi, ``Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring,'' Proc. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 31-35, 2023. [pdf]

7. Noriyuki Tonami, Sakiko Mishima, Reishi Kondo, Keisuke Imoto, and Tomoyuki Hino, ``Event Classification With Class-Level Gated Unit Using Large-Scale Pretrained Model for Optical Fiber Sensing,'' Proc. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 196-200, 2023. [pdf]

8. Shunsuke Tsubaki, Yohei Kawaguchi, Keisuke Imoto, Tomoya Nishida, Kota Dohi, Takashi Endo, and Yuki Okamoto, ``Audio-Change Captioning to Explain Machine-Sound Anomalies,'' Proc. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 201-205, 2023. [pdf]

9. Yuki Okamoto, Kanta Shimonishi, Keisuke Imoto, Kota Dohi, Shota Horiguchi, and Yohei Kawaguchi, ``CAPTDURE: Captioned Sound Dataset of Single Sources,'' Proc. INTERSPEECH, pp. 1683-1687, 2023. [ISCA Archive]

10. Hien Ohnaka, Shinnosuke Takamichi, Keisuke Imoto, Yuki Okamoto, Kazuki Fujii, and Hiroshi Saruwatari, ``Visual Onoma-to-Wave: Environmental Sound Synthesis From Visual Onomatopoeias and Sound-Source Images,'' Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5, 2023. [IEEE Xplore]

11. Ami Igarashi, Keisuke Imoto, Yuka Komatsu, Shunsuke Tsubaki, Shuto Hario, and Tatsuya Komatsu, ``How Information on Acoustic Scenes and Sound Events Mutually Benefits Event Detection and Scene Classification Tasks,'' Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 7–11, 2022. [IEEE Xplore] [pdf]

12. Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Takahiro Fukumori, and Yoichi Yamashita, ``How Should We Evaluate Synthesized Environmental Sounds,'' Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 307–312, 2022. [IEEE Xplore] [pdf]

13. Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Takashi Endo, Masaaki Yamamoto, and Yohei Kawaguchi, ``Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques,'' Proc. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 31-35, 2022. [pdf] [preprint]

14. Rie Koga, Sawa Takamuku, Keisuke Imoto, and Naotake Natori, ``Model Training that Prioritizes Rare Overlapped Labels for Polyphonic Sound Event Detection,'' Proc. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 56-60, 2022. [pdf]

15. Shunsuke Tsubaki, Keisuke Imoto, and Nobutaka Ono, ``Joint Analysis of Acoustic Scenes and Sound Events with Weakly labeled Data,'' Proc. International Workshop on Acoustic Signal Enhancement (IWAENC), pp. 1-5, 2022. [IEEE Xplore] [preprint]

16. Yukiko Takahashi, Sawa Takamuku, Keisuke Imoto, and Naotake Natori, ``Semi-supervised Domain Adaptation for Acoustic Scene Classification by Minimax Entropy and Self-supervision Approaches,'' Proc. International Workshop on Acoustic Signal Enhancement (IWAENC), pp. 1-5, 2022. [IEEE Xplore]

17. Yuki Shiroma, Yuma Kinoshita, Keisuke Imoto, Sayaka Shiota, Nobutaka Ono, and Hitoshi Kiya, ``Missing Data Recovery Using Autoencoder for Multi-Channel Acoustic Scene Classification,'' Proc. European Signal Processing Conference (EUSIPCO), pp. 767-771, 2022. [IEEE Xplore] [pdf]

18. Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, and Yohei Kawaguchi, ``Environmental Sound Extraction Using Onomatopoeia,'' Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 221-225, 2022. [IEEE Xplore] [preprint] (The 17th IEEE Signal Processing Society Japan Student Conference Paper Award)

19. Noriyuki Tonami, Keisuke Imoto, Ryotaro Nagase, Yuki Okamoto, Takahiro Fukumori, and Yoichi Yamashita, ``Sound Event Detection Guided by Semantic Contexts of Scenes,'' Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 801-805, 2022. [IEEE Xplore] [preprint]

20. Kayo Nada∗, Keisuke Imoto∗, Reina Iwamae, and Takao Tsuchiya, ``Multitask Learning of Acoustic Scenes and Events Using Dynamic Weight Adaptation Based on Multi-Focal Loss,'' Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1156–1160, 2021. [IEEE Xplore] [pdf]

21. Yuki Shiroma, Keisuke Imoto, Sayaka Shiota, Nobutaka Ono, and Hitoshi Kiya, ``Investigation on Spatial and Frequency-based Features for Asynchronous Acoustic Scene Analysis,'' Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1161–1166, 2021. [IEEE Xplore] [pdf]

22. Yohei Kawaguchi, Keisuke Imoto, Yuma Koizumi, Noboru Harada, Daisuke Niizumi, Kota Dohi, Ryo Tanabe, Harsh Purohit, and Takashi Endo, ``Description and Discussion on DCASE2021 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Under Domain Shifted Condition,'' Proc. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 186–190, 2021. [pdf] [video]

23. Keisuke Imoto, ``Acoustic Scene Classification Using Multichannel Observation with Partially Missing Channels,'' Proc. European Signal Processing Conference (EUSIPCO), pp. 875-879, 2021. [IEEE Xplore] [pdf]

24. Keisuke Imoto, Sakiko Mishima, Yumi Arai, and Reishi Kondo, ``Impact of Sound Duration and Inactive Frames on Sound Event Detection Performance,'' Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 860-864, 2021. [IEEE Xplore] [preprint]

25. Noriyuki Tonami, Keisuke Imoto, Yuki Okamoto, Takahiro Fukumori, and Yoichi Yamashita, ``Sound Event Detection Based on Curriculum Learning Considering Difficulty of Events,'' Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 875-879, 2021. [IEEE Xplore] [preprint]

26. Taiga Kawamura, Ryoichi Miyazaki, Keisuke Imoto, and Nobutaka Ono, ``Experimental Investigation of Robustness of Spatial Cepstrum Features Under Various Recording Conditions,'' Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 701-704, 2020. [IEEE Xplore] [pdf]

27. Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto, Toshiki Nakamura, Yuki Nikaido, Ryo Tanabe, Harsh Purohit, Kaori Suefusa, Takashi Endo, Masahiro Yasuda, and Noboru Harada, ``Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring,'' Proc. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 81–85, 2020. [pdf]

28. Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryosuke Yamanishi, Takahiro Fukumori, and Yoichi Yamashita, ``RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis,'' Proc. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 125–129, 2020. [pdf] [video]

29. Noriyuki Tonami, Keisuke Imoto, Takahiro Fukumori, and Yoichi Yamashita, ``Evaluation Metric of Sound Event Detection Considering Severe Misdetections by Scenes,'' Proc. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 195–199, 2020. [pdf] [video]

30. Keisuke Imoto∗, Noriyuki Tonami∗, Yuma Koizumi, Masahiro Yasuda, Ryosuke Yamanishi, and Yoichi Yamashita, ``Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels,'' Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 621-625, 2020. [IEEE Xplore] [preprint]

31. Tatsuya Komatsu, Keisuke Imoto, and Masahito Togami, ``Scene-dependent Acoustic Event Detection with Scene Conditioning and Fake-scene-condition Loss,'' Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 646-650, 2020. [IEEE Xplore]

32. Masahiro Yasuda, Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, and Keisuke Imoto, ``Sound Event Localization Based on Sound Intensity Vector Refined by DNN-based Denoising and Source Separation,'' Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 651-655, 2020. [IEEE Xplore] [preprint]

33. Yuki Okamoto, Keisuke Imoto, Naoki Tsukahara, Ken Nagata, Koh Sueda, Ryosuke Yamanishi, and Yoichi Yamashita, "Crow Call Detection Using Gated Convolutional Recurrent Neural Network,'' Proc. RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP), pp. 171-174, 2020. [pdf]

34. Keisuke Imoto and Nobutaka Ono, ``RU Multichannel Domestic Acoustic Scenes 2019: A Multichannel Dataset Recorded by Distributed Microphones with Various Properties,'' Proc. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 104-108, 2019. [pdf]

35. Noriyuki Tonami, Keisuke Imoto, Masahiro Niitsuma, Ryosuke Yamanishi, and Yoichi Yamashita, ``Joint Analysis of Acoustic Events and Scenes Based on Multitask Learning,'' Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp. 333-337, 2019. [IEEE Xplore] [preprint]

36. Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Noboru Harada, and Keisuke Imoto, ``ToyADMOS: A Dataset of Miniature-machine Operating Sounds for Anomalous Sound Detection,'' Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp. 308-312, 2019. [IEEE Xplore] [preprint]

37. Keisuke Imoto and Seisuke Kyochi, ``Sound Event Detection Using Graph Laplacian Regularization Based on Event Co-occurrence,'' Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5, 2019. [IEEE Xplore] [preprint]

38. Sandeep Kothinti, Keisuke Imoto, Debmalya Chakrabarty, Gregory Sell, Shinji Watanabe, and Mounya Elhilali, ``Joint Acoustic and Class Inference for Weakly Supervised Sound Event Detection,'' Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 36-40, 2019. [IEEE Xplore] [preprint]

39. Tomohiro Ichita, Seisuke Kyochi, and Keisuke Imoto, ``Audio Source Separation Based on Nonnegative Matrix Factorization with Graph Harmonic Structure,'' Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1148-1152, 2018. [pdf]

40. Keisuke Imoto, ``Acoustic Scene Analysis Using Partially Connected Microphones Based on Graph Cepstrum,'' Proc. European Signal Processing Conference (EUSIPCO), pp. 2439–2443, 2018. [IEEE Xplore] [preprint]

41. Masahiro Niitsuma, Keisuke Imoto, and Yoichi Yamashita, ``Identifying Individualities of Unconscious Movements While Music Performance Based on a Directional Tendency of the Lumbosacral Plexus,'' Proc. International Conference on Music Perception and Cognition (ICMPC15)/Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM10) 2018.

42. Kodai Makino, Masahiro Niitsuma, Keisuke Imoto, and Yoichi Yamashita, ``Investigating the Auditory Effects of Neighbor Tones,'' Proc. International Conference on Music Perception and Cognition (ICMPC15)/Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM10) 2018. (The SEMPRE award)

43. Keisuke Imoto, Nobutaka Ono, Masahiro Niitsuma, and Yoichi Yamashita, ``Online Sound Structure Analysis Based on Generative Model of Acoustic Feature Sequences,'' Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2017, pp. 1-6, 2017. [IEEE Xplore] [pdf]

44. Keisuke Imoto and Nobutaka Ono, ``Acoustic Scene Classification using Asynchronous Multichannel Observations with Different Lengths,'' Proc. IEEE International Workshop on Multimedia Signal Processing (MMSP), pp. 1-5, 2017. [IEEE Xplore] [pdf]

45. Keisuke Imoto and Nobutaka Ono, ``Acoustic Scene Classification Based on Generative Model of Acoustic Spatial Words for Distributed Microphone Array,'' Proc. European Signal Processing Conference (EUSIPCO), pp. 22279-2283, 2017. [IEEE Xplore] [pdf]

46. Keisuke Imoto and Nobutaka Ono, ``Online Acoustic Scene Analysis Based on Nonparametric Bayesian Model,'' Proc. European Signal Processing Conference (EUSIPCO), pp. 988-992, 2016. [IEEE Xplore] [pdf]

47. Keisuke Imoto and Nobutaka Ono, ``Spatial-Feature-Based Acoustic Scene Analysis Using Distributed Microphone Array,'' Proc. European Signal Processing Conference (EUSIPCO), pp. 734-738, 2015. [IEEE Xplore] [pdf]

48. Keisuke Imoto and Nobutaka Ono, ``Acoustic Scene Analysis from Acoustic Event Sequence with Intermittent Missing Event,'' Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 156-160, 2015. [IEEE Xplore]

49. Keisuke Imoto, Yasunori Ohishi, Hisashi Uematsu, and Hitoshi Ohmuro, ``Acoustic Scene Analysis Based on Latent Acoustic Topic and Event Allocation,'' Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2013. [IEEE Xplore]

50. Keisuke Imoto, Suehiro Shimauchi, Hisashi Uematsu, and Hitoshi Ohmuro, ``User Activity Estimation Method Based on Probabilistic Generative Model of Acoustic Event Sequence with User Activity and Its Subordinate Categories,'' Proc. INTERSPEECH, pp. 2609-2613, 2013. [ISCA Archive] [pdf]

51. Shiro Ise, Keisuke Imoto, and Takahiro Nakashima, ``Study on Practical Use of Active Noise Reflection Unit (ANRU),'' Proc. 39th International Congress and Exposition on Noise Control Engineering (INTER-NOISE), pp. 6892-6896, 2010.

52. Keisuke Imoto, Takahiro Nakashima, Shinya Kim, and Shiro Ise, ``Observation of Sound Energy Flow Around ActiveNoise Reflection Unit (ANRU),'' Proc. 37th International Congress and Exposition on Noise Control Engineering 2008, in08-0669. [pdf]

Book Chapters

1. Keisuke Imoto, et al., ``Q15 How to use sound level meters?,'' Acousticpedia for Beginners, Acoustical Society of Japan, Eds. Corona Publishing, pp. 60–63, March 2017. (in Japanese)

Reviews

1. Keisuke Imoto, "DCASE Challenge: Series of Competitions for Analyzing and Understanding Environmental Sounds," Journal of the Acoustical Society of Japan, Vol. 79, No. 9, pp. 470–476, 2023. (in Japanese)

2. Keisuke Imoto, "Environmental Sound Analysis," The Journal of the Institute of Electronics, Information and Communication Engineers, Vol. 106, No. 8, pp.774-776, 2023. (in Japanese) [IEICE]

3. Keisuke Imoto, "Environmental Sound Analysis Utilizing Domain Knowledge," The Journal of the Institute of Electronics, Information and Communication Engineers, Vol. 105, No. 12, pp.1434-1440, 2022. (in Japanese) [IEICE] [pdf]

4. Keisuke Imoto and Yohei Kawaguchi, "Research Trends in Environmental Sound Analysis and Anomalous Sound Detection," Fundamentals Review, The Institute of Electronics, Information and Communication Engineers, Vol. 15, No. 4, pp. 268-280, 2022. (in Japanese) [J-STAGE] [pdf]

5. Keisuke Imoto, ``Recent advances in environmental sound analysis,'' Journal of the Acoustical Society of Japan, Vol. 75, No. 9, pp. 512–518, 2019. (in Japanese) [J-STAGE] [pdf]

6. Keisuke Imoto, ``Acoustic Event and Scene Analysis,'' Journal of the Acoustical Society of Japan, Vol. 74, No. 4, pp. 198-207, 2018. (in Japanese) [J-STAGE] [pdf]

Technical Reports

1. Sandeep Kothinti∗, Keisuke Imoto∗, Debmalya Chakrabarty, Gregory Sell, Shinji Watanabe, and Mounya Elhilali, ``Joint Acoustic and Class Inference for Weakly Supervised Sound Event Detection,'' Technical report of task 4 of DCASE Challenge 2018. (The fourth place at task 4 of the DCASE 2018 Challenge) [pdf]

Tutorials and Invited Talks

1. Keisuke Imoto, ``Getting Started With Environmental Sound Analysis and Synthesis,'' Joint Workshop of Electroacoustics, Acoustical Society of Japan (ASJ) and Engineering Acoustics, Institute of Electronics, Information and Communication Engineers (IEICE), 2024.

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

3. Keisuke Imoto, ``Fundamentals and Recent Advances in Environmental Sound Analysis,'' Overview Session in Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2021.

4. Keisuke Imoto, ``Introduction to Environmental Sound Analysis,'' Joint Workshop of Electroacoustics, Acoustical Society of Japan (ASJ) and Engineering Acoustics, Institute of Electronics, Information and Communication Engineers (IEICE), 2020.

5. Keisuke Imoto, ``Recent Advances in Environmental Sound Analysis and Synthesis,'' Special Lecture at National Institute of Technology, Tokuyama College, 2019.

6. Keisuke Imoto, ``Acoustic Event and Scene Analysis: Recent Advances and Challenges,'' International Session in Annual Meeting of Acoustical Society of Japan, 2019.

7. Keisuke Imoto, ``Fundamentals and Research Trends on Acoustic Event and Scene Analysis,'' SP Workshop of Institute of Electronics, Information and Communication Engineers (IEICE), 2018.

Preprints

1. Yuki Okamoto, Keisuke Imoto, Tatsuya Komatsu, Shinnosuke Takamichi, Takumi Yagyu, Ryosuke Yamanishi, and Yoichi Yamashita, ``Overview of Tasks and Investigation of Subjective Evaluation Methods in Environmental Sound Synthesis and Conversion,'' arXiv, arXiv:1908.10055, 2019. [pdf]

[ English | Japanese ]