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Keisuke Imoto
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2020 – today
- 2024
- [c45]Modan Tailleur, Junwon Lee, Mathieu Lagrange, Keunwoo Choi, Laurie M. Heller, Keisuke Imoto, Yuki Okamoto:
Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependent. EUSIPCO 2024: 56-60 - [c44]Shunsuke Tsubaki, Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Keisuke Imoto:
Refining Knowledge Transfer on Audio-Image Temporal Agreement for Audio-Text Cross Retrieval. EUSIPCO 2024: 71-75 - [c43]Takezo Ohta, Yoshiaki Bando, Keisuke Imoto, Masaki Onishi:
A Sequential Audio Spectrogram Transformer for Real-Time Sound Event Detection. EUSIPCO 2024: 101-105 - [c42]Takuya Fujimura, Keisuke Imoto, Tomoki Toda:
Discriminative Neighborhood Smoothing for Generative Anomalous Sound Detection. EUSIPCO 2024: 156-160 - [c41]Kevin Wilkinghoff, Keisuke Imoto:
F1-EV score: Measuring The Likelihood of Estimating a Good Decision Threshold for Semi-Supervised Anomaly Detection. ICASSP 2024: 256-260 - [c40]Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita:
Environmental Sound Synthesis from Vocal Imitations and Sound Event Labels. ICASSP 2024: 411-415 - [i41]Shunsuke Tsubaki, Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Keisuke Imoto:
Refining Knowledge Transfer on Audio-Image Temporal Agreement for Audio-Text Cross Retrieval. CoRR abs/2403.10756 (2024) - [i40]Modan Tailleur, Junwon Lee, Mathieu Lagrange, Keunwoo Choi, Laurie M. Heller, Keisuke Imoto, Yuki Okamoto:
Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant. CoRR abs/2403.17508 (2024) - [i39]Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Masahiro Yasuda, Shunsuke Tsubaki, Keisuke Imoto:
M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation. CoRR abs/2406.02032 (2024) - [i38]Tomoya Nishida, Noboru Harada, Daisuke Niizumi, Davide Albertini, Roberto Sannino, Simone Pradolini, Filippo Augusti, Keisuke Imoto, Kota Dohi, Harsh Purohit, Takashi Endo, Yohei Kawaguchi:
Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. CoRR abs/2406.07250 (2024) - [i37]Naoki Koga, Yoshiaki Bando, Keisuke Imoto:
LEAD Dataset: How Can Labels for Sound Event Detection Vary Depending on Annotators? CoRR abs/2410.09778 (2024) - [i36]Yuki Okamoto, Ryotaro Nagase, Minami Okamoto, Yuki Saito, Keisuke Imoto, Takahiro Fukumori, Yoichi Yamashita:
Construction and Analysis of Impression Caption Dataset for Environmental Sounds. CoRR abs/2410.15532 (2024) - [i35]Junwon Lee, Modan Tailleur, Laurie M. Heller, Keunwoo Choi, Mathieu Lagrange, Brian McFee, Keisuke Imoto, Yuki Okamoto:
Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation. CoRR abs/2410.17589 (2024) - [i34]Yoto Fujita, Yoshiaki Bando, Keisuke Imoto, Masaki Onishi, Kazuyoshi Yoshii:
DOA-Aware Audio-Visual Self-Supervised Learning for Sound Event Localization and Detection. CoRR abs/2410.22803 (2024) - 2023
- [j7]Noriyuki Tonami, Keisuke Imoto:
Sound event triage: detecting sound events considering priority of classes. EURASIP J. Audio Speech Music. Process. 2023(1): 5 (2023) - [c39]Yoto Fujita, Yoshiaki Bando, Keisuke Imoto, Masaki Onishi, Kazuyoshi Yoshii:
DOA-Aware Audio-Visual Self-Supervised Learning for Sound Event Localization and Detection. APSIPA ASC 2023: 2061-2067 - [c38]Ami Igarashi, Shunsuke Tsubaki, Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Keisuke Imoto:
Joint Analysis of Acoustic Scenes and Sound Events Based on Semi-Supervised Approach. APSIPA ASC 2023: 2074-2080 - [c37]Hien Ohnaka, Shinnosuke Takamichi, Keisuke Imoto, Yuki Okamoto, Kazuki Fujii, Hiroshi Saruwatari:
Visual Onoma-to-Wave: Environmental Sound Synthesis from Visual Onomatopoeias and Sound-Source Images. ICASSP 2023: 1-5 - [c36]Yuki Okamoto, Kanta Shimonishi, Keisuke Imoto, Kota Dohi, Shota Horiguchi, Yohei Kawaguchi:
CAPTDURE: Captioned Sound Dataset of Single Sources. INTERSPEECH 2023: 1683-1687 - [i33]Keunwoo Choi, Jaekwon Im, Laurie M. Heller, Brian McFee, Keisuke Imoto, Yuki Okamoto, Mathieu Lagrange, Shinnosuke Takamichi:
Foley Sound Synthesis at the DCASE 2023 Challenge. CoRR abs/2304.12521 (2023) - [i32]Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita:
Environmental sound conversion from vocal imitations and sound event labels. CoRR abs/2305.00302 (2023) - [i31]Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi:
Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. CoRR abs/2305.07828 (2023) - [i30]Yuki Okamoto, Kanta Shimonishi, Keisuke Imoto, Kota Dohi, Shota Horiguchi, Yohei Kawaguchi:
CAPTDURE: Captioned Sound Dataset of Single Sources. CoRR abs/2305.17758 (2023) - [i29]Kevin Wilkinghoff, Keisuke Imoto:
F1-EV Score: Measuring the Likelihood of Estimating a Good Decision Threshold for Semi-Supervised Anomaly Detection. CoRR abs/2312.09143 (2023) - 2022
- [c35]Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. DCASE 2022 - [c34]Rie Koga, Sawa Takamuku, Keisuke Imoto, Naotake Natori:
Model Training that Prioritizes Rare Overlapped Labels for Polyphonic Sound Event Detection. DCASE 2022 - [c33]Yuki Shiroma, Yuma Kinoshita, Keisuke Imoto, Sayaka Shiota, Nobutaka Ono, Hitoshi Kiya:
Missing data recovery using autoencoder for multi-channel acoustic scene classification. EUSIPCO 2022: 767-771 - [c32]Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, Yohei Kawaguchi:
Environmental Sound Extraction Using Onomatopoeic Words. ICASSP 2022: 221-225 - [c31]Noriyuki Tonami, Keisuke Imoto, Ryotaro Nagase, Yuki Okamoto, Takahiro Fukumori, Yoichi Yamashita:
Sound Event Detection Guided by Semantic Contexts of Scenes. ICASSP 2022: 801-805 - [c30]Yukiko Takahashi, Sawa Takamuku, Keisuke Imoto, Naotake Natori:
Semi-Supervised Domain Adaptation for Acoustic Scene Classification by Minimax Entropy and Self-Supervision Approaches. IWAENC 2022: 1-5 - [c29]Shunsuke Tsubaki, Keisuke Imoto, Nobutaka Ono:
Joint Analysis Of Acoustic Scenes And Sound Events With Weakly Labeled Data. IWAENC 2022: 1-5 - [i28]Keisuke Imoto, Yuka Komatsu, Shunsuke Tsubaki, Tatsuya Komatsu:
How Information on Acoustic Scenes and Sound Events Mutually Benefits Event Detection and Scene Classification Tasks. CoRR abs/2204.02279 (2022) - [i27]Noriyuki Tonami, Keisuke Imoto:
Sound Event Triage: Detecting Sound Events Considering Priority of Classes. CoRR abs/2204.06402 (2022) - [i26]Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. CoRR abs/2206.05876 (2022) - [i25]Kayo Nada, Keisuke Imoto, Takao Tsuchiya:
Joint Analysis of Acoustic Scenes and Sound Events Based on Multitask Learning with Dynamic Weight Adaptation. CoRR abs/2206.10349 (2022) - [i24]Shunsuke Tsubaki, Keisuke Imoto, Nobutaka Ono:
Joint Analysis of Acoustic Scenes and Sound Events with Weakly labeled Data. CoRR abs/2207.04357 (2022) - [i23]Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Takahiro Fukumori, Yoichi Yamashita:
How Should We Evaluate Synthesized Environmental Sounds. CoRR abs/2208.07679 (2022) - [i22]Hien Ohnaka, Shinnosuke Takamichi, Keisuke Imoto, Yuki Okamoto, Kazuki Fujii, Hiroshi Saruwatari:
Visual onoma-to-wave: environmental sound synthesis from visual onomatopoeias and sound-source images. CoRR abs/2210.09173 (2022) - 2021
- [j6]Noriyuki Tonami, Keisuke Imoto, Ryosuke Yamanishi, Yoichi Yamashita:
Joint Analysis of Sound Events and Acoustic Scenes Using Multitask Learning. IEICE Trans. Inf. Syst. 104-D(2): 294-301 (2021) - [c28]Kayo Nada, Keisuke Imoto, Reina Iwamae, Takao Tsuchiya:
Multitask Learning of Acoustic Scenes and Events Using Dynamic Weight Adaptation Based on Multi-focal Loss. APSIPA ASC 2021: 1156-1160 - [c27]Yuki Shiroma, Keisuke Imoto, Sayaka Shiota, Nobutaka Ono, Hitoshi Kiya:
Investigation on Spatial and Frequency-Based Features for Asynchronous Acoustic Scene Analysis. APSIPA ASC 2021: 1161-1166 - [c26]Yohei Kawaguchi, Keisuke Imoto, Yuma Koizumi, Noboru Harada, Daisuke Niizumi, Kota Dohi, Ryo Tanabe, Harsh Purohit, Takashi Endo:
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Detection for Machine Condition Monitoring Under Domain Shifted Conditions. DCASE 2021: 186-190 - [c25]Keisuke Imoto:
Acoustic Scene Classification Using Multichannel Observation with Partially Missing Channels. EUSIPCO 2021: 875-879 - [c24]Keisuke Imoto, Sakiko Mishima, Yumi Arai, Reishi Kondo:
Impact of Sound Duration and Inactive Frames on Sound Event Detection Performance. ICASSP 2021: 860-864 - [c23]Noriyuki Tonami, Keisuke Imoto, Yuki Okamoto, Takahiro Fukumori, Yoichi Yamashita:
Sound Event Detection Based on Curriculum Learning Considering Learning Difficulty of Events. ICASSP 2021: 875-879 - [i21]Keisuke Imoto, Sakiko Mishima, Yumi Arai, Reishi Kondo:
Impact of Sound Duration and Inactive Frames on Sound Event Detection Performance. CoRR abs/2102.01927 (2021) - [i20]Noriyuki Tonami, Keisuke Imoto, Yuki Okamoto, Takahiro Fukumori, Yoichi Yamashita:
Sound Event Detection Based on Curriculum Learning Considering Learning Difficulty of Events. CoRR abs/2102.05288 (2021) - [i19]Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryosuke Yamanishi, Takahiro Fukumori, Yoichi Yamashita:
Onoma-to-wave: Environmental sound synthesis from onomatopoeic words. CoRR abs/2102.05872 (2021) - [i18]Keisuke Imoto:
Acoustic Scene Classification Using Multichannel Observation with Partially Missing Channels. CoRR abs/2105.01836 (2021) - [i17]Yohei Kawaguchi, Keisuke Imoto, Yuma Koizumi, Noboru Harada, Daisuke Niizumi, Kota Dohi, Ryo Tanabe, Harsh Purohit, Takashi Endo:
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions. CoRR abs/2106.04492 (2021) - [i16]Noriyuki Tonami, Keisuke Imoto, Ryotaro Nagase, Yuki Okamoto, Takahiro Fukumori, Yoichi Yamashita:
Sound Event Detection Guided by Semantic Contexts of Scenes. CoRR abs/2110.03243 (2021) - [i15]Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, Yohei Kawaguchi:
Environmental Sound Extraction Using Onomatopoeia. CoRR abs/2112.00209 (2021) - 2020
- [j5]Keisuke Imoto:
Graph Cepstrum: Spatial Feature Extracted from Partially Connected Microphones. IEICE Trans. Inf. Syst. 103-D(3): 631-638 (2020) - [j4]Keisuke Imoto, Seisuke Kyochi:
Sound Event Detection Utilizing Graph Laplacian Regularization with Event Co-Occurrence. IEICE Trans. Inf. Syst. 103-D(9): 1971-1977 (2020) - [c22]Taiga Kawamura, Ryoichi Miyazaki, Keisuke Imoto, Nobutaka Ono:
Experimental investigation of robustness of spatial cepstrum features under various recording conditions. APSIPA 2020: 701-704 - [c21]Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto, Toshiki Nakamura, Yuki Nikaido, Ryo Tanabe, Harsh Purohit, Kaori Suefusa, Takashi Endo, Masahiro Yasuda, Noboru Harada:
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. DCASE 2020: 81-85 - [c20]Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryosuke Yamanishi, Takahiro Fukumori, Yoichi Yamashita:
RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis. DCASE 2020: 125-129 - [c19]Noriyuki Tonami, Keisuke Imoto, Takahiro Fukumori, Yoichi Yamashita:
Evaluation Metric of Sound Event Detection Considering Severe Misdetection by Scenes. DCASE 2020: 195-199 - [c18]Keisuke Imoto, Noriyuki Tonami, Yuma Koizumi, Masahiro Yasuda, Ryosuke Yamanishi, Yoichi Yamashita:
Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels. ICASSP 2020: 621-625 - [c17]Tatsuya Komatsu, Keisuke Imoto, Masahito Togami:
Scene-Dependent Acoustic Event Detection with Scene Conditioning and Fake-Scene-Conditioned Loss. ICASSP 2020: 646-650 - [c16]Masahiro Yasuda, Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Keisuke Imoto:
Sound Event Localization Based on Sound Intensity Vector Refined by Dnn-Based Denoising and Source Separation. ICASSP 2020: 651-655 - [e1]Nobutaka Ono, Noboru Harada, Yohei Kawaguchi, Annamaria Mesaros, Keisuke Imoto, Yuma Koizumi, Tatsuya Komatsu:
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), Tokyo, Japan (full virtual), November 2-4, 2020. 2020, ISBN 978-4-600-00566-5 [contents] - [i14]Keisuke Imoto:
Graph Cepstrum: Spatial Feature Extracted from Partially Connected Microphones. CoRR abs/2001.11894 (2020) - [i13]Keisuke Imoto, Noriyuki Tonami, Yuma Koizumi, Masahiro Yasuda, Ryosuke Yamanishi, Yoichi Yamashita:
Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels. CoRR abs/2002.05848 (2020) - [i12]Masahiro Yasuda, Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Keisuke Imoto:
Sound Event Localization based on Sound Intensity Vector Refined By DNN-Based Denoising and Source Separation. CoRR abs/2002.05994 (2020) - [i11]Keisuke Imoto, Seisuke Kyochi:
Sound Event Detection Utilizing Graph Laplacian Regularization with Event Co-occurrence. CoRR abs/2004.12046 (2020) - [i10]Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto, Toshiki Nakamura, Yuki Nikaido, Ryo Tanabe, Harsh Purohit, Kaori Suefusa, Takashi Endo, Masahiro Yasuda, Noboru Harada:
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. CoRR abs/2006.05822 (2020) - [i9]Daichi Akiyama, Keisuke Imoto, Noriyuki Tonami, Yuki Okamoto, Ryosuke Yamanishi, Takahiro Fukumori, Yoichi Yamashita:
Sound Event Detection Using Duration Robust Loss Function. CoRR abs/2006.15253 (2020) - [i8]Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryosuke Yamanishi, Takahiro Fukumori, Yoichi Yamashita:
RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis. CoRR abs/2007.04719 (2020) - [i7]Noriyuki Tonami, Keisuke Imoto, Ryosuke Yamanishi, Yoichi Yamashita:
Joint Analysis of Sound Events and Acoustic Scenes Using Multitask Learning. CoRR abs/2010.09213 (2020)
2010 – 2019
- 2019
- [j3]Keisuke Imoto, Nobutaka Ono:
Acoustic Topic Model for Scene Analysis With Intermittently Missing Observations. IEEE ACM Trans. Audio Speech Lang. Process. 27(2): 367-382 (2019) - [c15]Keisuke Imoto, Nobutaka Ono:
RU Multichannel Domestic Acoustic Scenes 2019: A Multichannel Dataset Recorded by Distributed Microphones with Various Properties. DCASE 2019: 104-108 - [c14]Keisuke Imoto, Seisuke Kyochi:
Sound Event Detection Using Graph Laplacian Regularization Based on Event Co-occurrence. ICASSP 2019: 1-5 - [c13]Sandeep Kothinti, Keisuke Imoto, Debmalya Chakrabarty, Gregory Sell, Shinji Watanabe, Mounya Elhilali:
Joint Acoustic and Class Inference for Weakly Supervised Sound Event Detection. ICASSP 2019: 36-40 - [c12]Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Noboru Harada, Keisuke Imoto:
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection. WASPAA 2019: 313-317 - [c11]Noriyuki Tonami, Keisuke Imoto, Masahiro Niitsuma, Ryosuke Yamanishi, Yoichi Yamashita:
Joint Analysis of Acoustic Events and Scenes Based on Multitask Learning. WASPAA 2019: 338-342 - [i6]Keisuke Imoto, Seisuke Kyochi:
Sound Event Detection Using Graph Laplacian Regularization Based on Event Co-occurrence. CoRR abs/1902.00816 (2019) - [i5]Noriyuki Tonami, Keisuke Imoto, Masahiro Niitsuma, Ryosuke Yamanishi, Yoichi Yamashita:
Joint Analysis of Acoustic Event and Scene Based on Multitask Learning. CoRR abs/1904.12146 (2019) - [i4]Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Noboru Harada, Keisuke Imoto:
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection. CoRR abs/1908.03299 (2019) - [i3]Yuki Okamoto, Keisuke Imoto, Tatsuya Komatsu, Shinnosuke Takamichi, Takumi Yagyu, Ryosuke Yamanishi, Yoichi Yamashita:
Overview of Tasks and Investigation of Subjective Evaluation Methods in Environmental Sound Synthesis and Conversion. CoRR abs/1908.10055 (2019) - 2018
- [c10]Tomohiro Ichita, Seisuke Kyochi, Keisuke Imoto:
Audio Source Separation Based on Nonnegative Matrix Factorization with Graph Harmonic Structure. APSIPA 2018: 1148-1152 - [c9]Keisuke Imoto:
Acoustic Scene Analysis Using Partially Connected Microphones Based on Graph Cepstrum. EUSIPCO 2018: 2439-2443 - [i2]Keisuke Imoto:
Acoustic Scene Analysis Using Partially Connected Microphones Based on Graph Cepstrum. CoRR abs/1805.11782 (2018) - [i1]Sandeep Kothinti, Keisuke Imoto, Debmalya Chakrabarty, Gregory Sell, Shinji Watanabe, Mounya Elhilali:
Joint Acoustic and Class Inference for Weakly Supervised Sound Event Detection. CoRR abs/1811.04048 (2018) - 2017
- [j2]Keisuke Imoto, Nobutaka Ono:
Spatial Cepstrum as a Spatial Feature Using a Distributed Microphone Array for Acoustic Scene Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1335-1343 (2017) - [c8]Keisuke Imoto, Nobutaka Ono, Masahiro Niitsuma, Yoichi Yamashita:
Online sound structure analysis based on generative model of acoustic feature sequences. APSIPA 2017: 1316-1321 - [c7]Keisuke Imoto, Nobutaka Ono:
Acoustic scene classification based on generative model of acoustic spatial words for distributed microphone array. EUSIPCO 2017: 2279-2283 - [c6]Keisuke Imoto, Nobutaka Ono:
Acoustic scene classification using asynchronous multichannel observations with different lengths. MMSP 2017: 1-5 - 2016
- [j1]Keisuke Imoto, Suehiro Shimauchi:
Acoustic Scene Analysis Based on Hierarchical Generative Model of Acoustic Event Sequence. IEICE Trans. Inf. Syst. 99-D(10): 2539-2549 (2016) - [c5]Keisuke Imoto, Nobutaka Ono:
Online acoustic scene analysis based on nonparametric Bayesian model. EUSIPCO 2016: 988-992 - 2015
- [c4]Keisuke Imoto, Nobutaka Ono:
Spatial-feature-based acoustic scene analysis using distributed microphone array. EUSIPCO 2015: 734-738 - [c3]Keisuke Imoto, Nobutaka Ono:
Acoustic scene analysis from acoustic event sequence with intermittent missing event. ICASSP 2015: 156-160 - 2013
- [c2]Keisuke Imoto, Suehiro Shimauchi, Hisashi Uematsu, Hitoshi Ohmuro:
User activity estimation method based on probabilistic generative model of acoustic event sequence with user activity and its subordinate categories. INTERSPEECH 2013: 2609-2613 - [c1]Keisuke Imoto, Yasunori Ohishi, Hisashi Uematsu, Hitoshi Ohmuro:
Acoustic scene analysis based on latent acoustic topic and event allocation. MLSP 2013: 1-6
Coauthor Index
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