Foley sound synthesis at the dcase 2023 challenge K Choi, J Im, L Heller, B McFee, K Imoto, Y Okamoto, M Lagrange, ... arXiv preprint arXiv:2304.12521, 2023 | 21 | 2023 |
Onoma-to-wave: Environmental sound synthesis from onomatopoeic words Y Okamoto, K Imoto, S Takamichi, R Yamanishi, T Fukumori, Y Yamashita APSIPA Transactions on Signal and Information Processing 11 (1), 2022 | 13 | 2022 |
Environmental Sound Extraction Using Onomatopoeic Words Y Okamoto, S Horiguchi, M Yamamoto, K Imoto, Y Kawaguchi ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 9* | 2022 |
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 | 8 | 2019 |
Crow Call Detection Using Gated Convolutional Recurrent Neural Network Y Okamoto, K Imoto, N Tsukahara, K Nagata, K Sueda, R Yamanishi, ... 2020 RISP International Workshop on Nonlinear Circuits, Communications and …, 2020 | 7 | 2020 |
Sound event detection guided by semantic contexts of scenes N Tonami, K Imoto, R Nagase, Y Okamoto, T Fukumori, Y Yamashita ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
Sound event detection based on curriculum learning considering learning difficulty of events N Tonami, K Imoto, Y Okamoto, T Fukumori, Y Yamashita ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 5 | 2021 |
Visual onoma-to-wave: environmental sound synthesis from visual onomatopoeias and sound-source images H Ohnaka, S Takamichi, K Imoto, Y Okamoto, K Fujii, H Saruwatari ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis Y Okamoto, K Imoto, S Takamichi, R Yamanishi, T Fukumori, Y Yamashita Detection and Classification of Acoustic Scenes and Events 2020 Workshop …, 2020 | 4 | 2020 |
Sound Event Detection Using Duration Robust Loss Function D Akiyama, K Imoto, N Tonami, Y Okamoto, R Yamanishi, T Fukumori, ... arXiv preprint arXiv:2006.15253, 2020 | 1 | 2020 |
CAPTDURE: Captioned Sound Dataset of Single Sources Y Okamoto, K Shimonishi, K Imoto, K Dohi, S Horiguchi, Y Kawaguchi arXiv preprint arXiv:2305.17758, 2023 | | 2023 |
Environmental sound conversion from vocal imitations and sound event labels Y Okamoto, K Imoto, S Takamichi, R Nagase, T Fukumori, Y Yamashita arXiv preprint arXiv:2305.00302, 2023 | | 2023 |
How Should We Evaluate Synthesized Environmental Sounds Y Okamoto, K Imoto, S Takamichi, T Fukumori, Y Yamashita 2022 Asia-Pacific Signal and Information Processing Association Annual …, 2022 | | 2022 |
誤検出の深刻さを考慮した音響イベント検出のための評価指標 砺波紀之, 井本桂右, 岡本悠希, 福森隆寛, 山下洋一 日本音響学会誌 78 (5), 217-226, 2022 | | 2022 |
Investigation of a subjective evaluation method for environmental sound synthesis according to input information Y OKAMOTO, K IMOTO, S TAKAMICHI, T FUKUMORI, Y YAMASHITA 日本音響学会研究発表会講演論文集 (CD-ROM) 2022, 2-34, 2022 | | 2022 |
Environmental sound synthesis from onomatopoeic words using Transformer model Y OKAMOTO, K IMOTO, S TAKAMICHI, T FUKUMORI, Y YAMASHITA 日本音響学会研究発表会講演論文集 (CD-ROM) 2021, 3-3, 2021 | | 2021 |
Onoma-to-Wave: Environmental sound synthesis using onomatopoeic words Y OKAMOTO, K IMOTO, S TAKAMICHI, R YAMANISHI, T FUKUMORI, ... 日本音響学会研究発表会講演論文集 (CD-ROM) 2021, 2-2, 2021 | | 2021 |
AUDIO-CHANGE CAPTIONING TO EXPLAIN MACHINE-SOUND ANOMALIES STY Kawaguchi, T Nishida, K Imoto, Y Okamoto, K Dohi, T Endo | | |