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

[BibT_eX]

[DOI]

Kota Dohi

Keisuke Imoto

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Joint Analysis Of Acoustic Scenes And Sound Events With Weakly Labeled Data.

[BibT_eX]

[DOI]

Shunsuke Tsubaki

Keisuke Imoto

Nobutaka Ono

Proceedings of the 17th International Workshop on Acoustic Signal Enhancement, 2022

Semi-Supervised Domain Adaptation for Acoustic Scene Classification by Minimax Entropy and Self-Supervision Approaches.

[BibT_eX]

[DOI]

Proceedings of the 17th International Workshop on Acoustic Signal Enhancement, 2022

Sound Event Detection Guided by Semantic Contexts of Scenes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Environmental Sound Extraction Using Onomatopoeic Words.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Missing data recovery using autoencoder for multi-channel acoustic scene classification.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

Model Training that Prioritizes Rare Overlapped Labels for Polyphonic Sound Event Detection.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2021

Joint Analysis of Sound Events and Acoustic Scenes Using Multitask Learning.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2021

Environmental Sound Extraction Using Onomatopoeia.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Acoustic Scene Classification Using Multichannel Observation with Partially Missing Channels.

[BibT_eX]

[DOI]

Keisuke Imoto

Proceedings of the 29th European Signal Processing Conference, 2021

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

[BibT_eX]

[DOI]

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

Investigation on Spatial and Frequency-Based Features for Asynchronous Acoustic Scene Analysis.

[BibT_eX]

[DOI]

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Multitask Learning of Acoustic Scenes and Events Using Dynamic Weight Adaptation Based on Multi-focal Loss.

[BibT_eX]

[DOI]

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020

Sound Event Detection Utilizing Graph Laplacian Regularization with Event Co-Occurrence.

[BibT_eX]

[DOI]

Keisuke Imoto

Seisuke Kyochi

IEICE Trans. Inf. Syst., 2020

Graph Cepstrum: Spatial Feature Extracted from Partially Connected Microphones.

[BibT_eX]

[DOI]

Keisuke Imoto

IEICE Trans. Inf. Syst., 2020

Sound Event Detection Using Duration Robust Loss Function.

[BibT_eX]

[DOI]

CoRR, 2020

Sound Event Localization Based on Sound Intensity Vector Refined by Dnn-Based Denoising and Source Separation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Scene-Dependent Acoustic Event Detection with Scene Conditioning and Fake-Scene-Conditioned Loss.

[BibT_eX]

[DOI]

Tatsuya Komatsu

Keisuke Imoto

Masahito Togami

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Evaluation Metric of Sound Event Detection Considering Severe Misdetection by Scenes.

[BibT_eX]

[DOI]

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

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

[BibT_eX]

[DOI]

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring.

[BibT_eX]

[DOI]

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

Experimental investigation of robustness of spatial cepstrum features under various recording conditions.

[BibT_eX]

[DOI]

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019

Acoustic Topic Model for Scene Analysis With Intermittently Missing Observations.

[BibT_eX]

[DOI]

Keisuke Imoto

Nobutaka Ono

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

Overview of Tasks and Investigation of Subjective Evaluation Methods in Environmental Sound Synthesis and Conversion.

[BibT_eX]

[DOI]

CoRR, 2019

Joint Analysis of Acoustic Event and Scene Based on Multitask Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Joint Analysis of Acoustic Events and Scenes Based on Multitask Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Joint Acoustic and Class Inference for Weakly Supervised Sound Event Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Sound Event Detection Using Graph Laplacian Regularization Based on Event Co-occurrence.

[BibT_eX]

[DOI]

Keisuke Imoto

Seisuke Kyochi

Proceedings of the IEEE International Conference on Acoustics, 2019

RU Multichannel Domestic Acoustic Scenes 2019: A Multichannel Dataset Recorded by Distributed Microphones with Various Properties.

[BibT_eX]

[DOI]

Keisuke Imoto

Nobutaka Ono

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018

Acoustic Scene Analysis Using Partially Connected Microphones Based on Graph Cepstrum.

[BibT_eX]

[DOI]

Keisuke Imoto

Proceedings of the 26th European Signal Processing Conference, 2018

Audio Source Separation Based on Nonnegative Matrix Factorization with Graph Harmonic Structure.

[BibT_eX]

[DOI]

Tomohiro Ichita

Seisuke Kyochi

Keisuke Imoto

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

Spatial Cepstrum as a Spatial Feature Using a Distributed Microphone Array for Acoustic Scene Analysis.

[BibT_eX]

[DOI]

Keisuke Imoto

Nobutaka Ono

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Acoustic scene classification using asynchronous multichannel observations with different lengths.

[BibT_eX]

[DOI]

Keisuke Imoto

Nobutaka Ono

Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017

Acoustic scene classification based on generative model of acoustic spatial words for distributed microphone array.

[BibT_eX]

[DOI]

Keisuke Imoto

Nobutaka Ono

Proceedings of the 25th European Signal Processing Conference, 2017

Online sound structure analysis based on generative model of acoustic feature sequences.

[BibT_eX]

[DOI]

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016

Acoustic Scene Analysis Based on Hierarchical Generative Model of Acoustic Event Sequence.

[BibT_eX]

[DOI]

Keisuke Imoto

Suehiro Shimauchi

IEICE Trans. Inf. Syst., 2016

Online acoustic scene analysis based on nonparametric Bayesian model.

[BibT_eX]

[DOI]

Keisuke Imoto

Nobutaka Ono

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Acoustic scene analysis from acoustic event sequence with intermittent missing event.

[BibT_eX]

[DOI]

Keisuke Imoto

Nobutaka Ono

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Spatial-feature-based acoustic scene analysis using distributed microphone array.

[BibT_eX]

[DOI]

Keisuke Imoto

Nobutaka Ono

Proceedings of the 23rd European Signal Processing Conference, 2015

2013

Acoustic scene analysis based on latent acoustic topic and event allocation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

User activity estimation method based on probabilistic generative model of acoustic event sequence with user activity and its subordinate categories.

[BibT_eX]

[DOI]

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Keisuke Imoto

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