| 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 | 94 | 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 | 89 | 2020 |
| Relaxing the conditional independence assumption of CTC-based ASR by conditioning on intermediate predictions J Nozaki, T Komatsu arXiv preprint arXiv:2104.02724, 2021 | 86 | 2021 |
| 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 | 85 | 2016 |
| 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 | 64 | 2020 |
| 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 | 52 | 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 | 49 | 2021 |
| 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 | 48 | 2016 |
| 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 | 37 | 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 | 32 | 2020 |
| PromptTTS++: Controlling speaker identity in prompt-based text-to-speech using natural language descriptions R Shimizu, R Yamamoto, M Kawamura, Y Shirahata, H Doi, T Komatsu, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 22 | 2024 |
| 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 | 16 | 2020 |
| Neural diarization with non-autoregressive intermediate attractors Y Fujita, T Komatsu, R Scheibler, Y Kida, T Ogawa ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 15 | 2023 |
| MLP-based architecture with variable length input for automatic speech recognition J Sakuma, T Komatsu, R Scheibler | 15 | 2022 |
| 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 | 14 | 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 | 14 | 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 | 13 | 1986 |
| Acoustic event detection with classifier chains T Komatsu, S Watanabe, K Miyazaki, T Hayashi arXiv preprint arXiv:2202.08470, 2022 | 12 | 2022 |
| 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 | 12 | 2021 |
| Multichannel loss function for supervised speech source separation by mask-based beamforming Y Masuyama, M Togami, T Komatsu arXiv preprint arXiv:1907.04984, 2019 | 11 | 2019 |
Kazuya TakedaDept. of Intelligent Systems, School of Informatics, Nagoya Universityبريد إلكتروني تم التحقق منه على nuee.nagoya-u.ac.jp
