| Acoustic Event Detection Method Using Semi-Supervised Non-Negative Matrix Factorization with Mixtures of Local Dictionaries. T Komatsu, T Toizumi, R Kondo, Y Senda DCASE, 45-49, 2016 | 82 | 2016 |
| Weakly-supervised sound event detection with self-attention K Miyazaki, T Komatsu, T Hayashi, S Watanabe, T Toda, K Takeda ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 64 | 2020 |
| Convolution-augmented transformer for semi-supervised sound event detection K Miyazaki, T Komatsu, T Hayashi, S Watanabe, T Toda, K Takeda Proc. Workshop Detection Classification Acoust. Scenes Events (DCASE), 100-104, 2020 | 59 | 2020 |
| Conformer-based sound event detection with semi-supervised learning and data augmentation K Miyazaki, T Komatsu, T Hayashi, S Watanabe, T Toda, K Takeda dim 1, 4, 2020 | 43 | 2020 |
| Acoustic event detection based on non-negative matrix factorization with mixtures of local dictionaries and activation aggregation T Komatsu, Y Senda, R Kondo 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 42 | 2016 |
| Relaxing the conditional independence assumption of CTC-based ASR by conditioning on intermediate predictions J Nozaki, T Komatsu arXiv preprint arXiv:2104.02724, 2021 | 34 | 2021 |
| Anomalous sound event detection based on wavenet T Hayashi, T Komatsu, R Kondo, T Toda, K Takeda 2018 26th European Signal Processing Conference (EUSIPCO), 2494-2498, 2018 | 32 | 2018 |
| A comparative study on non-autoregressive modelings for speech-to-text generation Y Higuchi, N Chen, Y Fujita, H Inaguma, T Komatsu, J Lee, J Nozaki, ... 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 47-54, 2021 | 30 | 2021 |
| Unsupervised training for deep speech source separation with Kullback-Leibler divergence based probabilistic loss function M Togami, Y Masuyama, T Komatsu, Y Nakagome ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 21 | 2020 |
| Disentangled speaker and language representations using mutual information minimization and domain adaptation for cross-lingual TTS D Xin, T Komatsu, S Takamichi, H Saruwatari ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 16 | 2021 |
| Detection of anomaly acoustic scenes based on a temporal dissimilarity model T Komatsu, R Kondo 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 12 | 2017 |
| Initial stage of Pd adsorption on Si (111) 7× 7 surface studied by AES and EELS S Nishigaki, T Komatsu, M Arimoto, M Sugihara Surface science 167 (1), 27-38, 1986 | 11 | 1986 |
| Robust acoustic scene classification to multiple devices using maximum classifier discrepancy and knowledge distillation S Takeyama, T Komatsu, K Miyazaki, M Togami, S Ono 2020 28th European Signal Processing Conference (EUSIPCO), 36-40, 2021 | 9 | 2021 |
| Consistency-aware multi-channel speech enhancement using deep neural networks Y Masuyama, M Togami, T Komatsu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 9 | 2020 |
| Sound event localization and detection using convolutional recurrent neural networks and gated linear units T Komatsu, M Togami, T Takahashi 2020 28th European Signal Processing Conference (EUSIPCO), 41-45, 2021 | 8 | 2021 |
| Scene-dependent acoustic event detection with scene conditioning and fake-scene-conditioned loss T Komatsu, K Imoto, M Togami ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
| Scene-dependent anomalous acoustic-event detection based on conditional wavenet and i-vector T Komatsu, T Hayashiy, R Kondo, T Todaz, K Takeday ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 8 | 2019 |
| Overview of tasks and investigation of subjective evaluation methods in environmental sound synthesis and conversion Y Okamoto, K Imoto, T Komatsu, S Takamichi, T Yagyu, R Yamanishi, ... arXiv preprint arXiv:1908.10055, 2019 | 7 | 2019 |
| Multichannel loss function for supervised speech source separation by mask-based beamforming Y Masuyama, M Togami, T Komatsu arXiv preprint arXiv:1907.04984, 2019 | 7 | 2019 |
| Anomaly detecting device, anomaly detecting method, and recording medium T Komatsu, R Kondo US Patent 11,397,792, 2022 | 6 | 2022 |
Kazuya TakedaDept. of Intelligent Systems, School of Informatics, Nagoya UniversityVerified email at nuee.nagoya-u.ac.jp
