| Estimating direct-to-reverberant energy ratio using D/R spatial correlation matrix model Y Hioka, K Niwa, S Sakauchi, K Furuya, Y Haneda IEEE Transactions on Audio, Speech, and Language Processing 19 (8), 2374-2384, 2011 | 80 | 2011 |
| DNN-based source enhancement to increase objective sound quality assessment score Y Koizumi, K Niwa, Y Hioka, K Kobayashi, Y Haneda IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (10 …, 2018 | 76 | 2018 |
| Underdetermined sound source separation using power spectrum density estimated by combination of directivity gain Y Hioka, K Furuya, K Kobayashi, K Niwa, Y Haneda IEEE Transactions on Audio, Speech, and Language Processing 21 (6), 1240-1250, 2013 | 73 | 2013 |
| DNN-based source enhancement self-optimized by reinforcement learning using sound quality measurements Y Koizumi, K Niwa, Y Hioka, K Kobayashi, Y Haneda 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 63 | 2017 |
| Post-filter design for speech enhancement in various noisy environments K Niwa, Y Hioka, K Kobayashi 2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC), 35-39, 2014 | 41 | 2014 |
| Edge-consensus learning: Deep learning on P2P networks with nonhomogeneous data K Niwa, N Harada, G Zhang, WB Kleijn Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 37 | 2020 |
| Sound enhancement method, device, program and recording medium K Niwa, S Sakauchi, K Furuya, Y Haneda US Patent 9,191,738, 2015 | 34 | 2015 |
| Encoding large array signals into a 3D sound field representation for selective listening point audio based on blind source separation K Niwa, T Nishino, K Takeda 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 33 | 2008 |
| Pinpoint extraction of distant sound source based on DNN mapping from multiple beamforming outputs to prior SNR K Niwa, Y Koizumi, T Kawase, K Kobayashi, Y Hioka 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 27 | 2016 |
| 3DAV integrated system featuring arbitrary listening-point and viewpoint generation MP Tehrani, K Niwa, N Fukushima, Y Hirano, T Fujii, M Tanimoto, ... 2008 IEEE 10th Workshop on Multimedia Signal Processing, 855-860, 2008 | 22 | 2008 |
| Diffused sensing for sharp directive beamforming K Niwa, Y Hioka, K Furuya, Y Haneda IEEE transactions on audio, speech, and language processing 21 (11), 2346-2355, 2013 | 21 | 2013 |
| Characteristics of a new methanol synthesis reactor H Makihara, K Kobayashi, H Horizoe, C Kuwada, K Niwa | 20 | 1987 |
| Software defined media: Virtualization of audio-visual services M Tsukada, K Ogawa, M Ikeda, T Sone, K Niwa, S Saito, T Kasuya, ... 2017 IEEE International Conference on Communications (ICC), 1-7, 2017 | 19 | 2017 |
| Asynchronous decentralized optimization with implicit stochastic variance reduction K Niwa, G Zhang, WB Kleijn, N Harada, H Sawada, A Fujino International Conference on Machine Learning, 8195-8204, 2021 | 18 | 2021 |
| PSD estimation in beamspace for estimating direct-to-reverberant ratio from a reverberant speech signal Y Hioka, K Niwa arXiv preprint arXiv:1510.08963, 2015 | 18 | 2015 |
| Estimating direct-to-reverberant energy ratio based on spatial correlation model segregating direct sound and reverberation Y Hioka, K Niwa, S Sakauchi, K Furuya, Y Haneda 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 17 | 2010 |
| New recording application for software defined media M Ikeda, T Sone, K Niwa, S Saito, M Tsukada, H Esaki Audio Engineering Society Convention 141, 2016 | 16 | 2016 |
| Estimation of direct-to-reverberation energy ratio based on isotropic and homogeneous propagation model Y Hioka, K Furuya, K Niwa, Y Haneda IWAENC 2012; International Workshop on Acoustic Signal Enhancement, 1-4, 2012 | 16 | 2012 |
| Embarrassingly simple text watermarks R Sato, Y Takezawa, H Bao, K Niwa, M Yamada arXiv preprint arXiv:2310.08920, 2023 | 15 | 2023 |
| Ssfg: Stochastically scaling features and gradients for regularizing graph convolutional networks H Zhang, M Xu, G Zhang, K Niwa IEEE Transactions on Neural Networks and Learning Systems 35 (2), 2223-2234, 2022 | 15 | 2022 |
