| Low-latency real-time blind source separation for hearing aids based on time-domain implementation of online independent vector analysis with truncation of non-causal components M Sunohara, C Haruta, N Ono 2017 IEEE International conference on acoustics, speech and signal …, 2017 | 44 | 2017 |
| A low-computational DNN-based speech enhancement for hearing aids based on element selection C Haruta, N Ono 29th European Signal Processing Conference (EUSIPCO), 1025, 2021 | 9 | 2021 |
| Low-latency real-time blind source separation with binaural directional hearing aids M Sunohara, C Haruta, N Ono Proc. CHAT, Stockholm, Sweden, 9-13, 2017 | 7 | 2017 |
| Sound source separation apparatus N Ono, M Sunohara, C Haruta US Patent 10,410,640, 2019 | 6 | 2019 |
| Whiten Fast H∞ filter based on prediction error method for adaptive feedback cancellation in hearing aids N Hiruma, C Haruta, M Sunohara, M Tateno, K Nishiyama Signal Processing Symposium, 326-331, 2017 | 2 | 2017 |
| 補聴器応用のための DNN 音声強調の低演算量化の検討 春田智穂， 小野順貴 日本音響学会誌 78 (5), 227-237, 2022 | 1 | 2022 |
| Framewise finite impulse response filtering based on time-frequency mask for low-latency speech enhancement C Haruta, N Ono, Y Kinoshita 2021 Asia-Pacific Signal and Information Processing Association Annual …, 2021 | 1 | 2021 |
| Prototype of Four-Channel Low-Latency Real-Time Blind Source Separation System for Hearing Aids M Sunohara, C Haruta, N Ono | 1 | |
| Relationship between complaints from hearing aid users and provided fittings EH Chiho Haruta, Sae Yanaga The 2022 Spring meeting of the Acoustical Society of Japan, 2022 | | 2022 |
| Hearing aid wearer's problems and adjustments in COVID-19 pandemic S Yanaga, C Haruta, E Hosono The 2022 Spring meeting of the Acoustical Society of Japan, 2022 | | 2022 |
| 要素選択による低演算量化を用いたDNNマスク推定に基づく音声強調処理 春田智穂， 小野順貴 日本音響学会2021年秋季研究発表会, 209, 2021 | | 2021 |
| 要素選択による次元削減を用いたDNN音声強調処理の低演算量化 春田智穂， 小野順貴 日本音響学会2021年春季研究発表会, 229, 2021 | | 2021 |
| System identification device, system identification method, system identification program, and recording medium recording system identification program K Nishiyama, M Sunohara, N Hiruma, C Haruta, M Tateno US Patent 10,863,272, 2020 | | 2020 |
| 研究事例: 深層学習技術を用いた補聴器フィッティングの未来 春田智穂， 上村佑基 日本音響学会誌 74 (7), 411-412, 2018 | | 2018 |
| 補聴器フィッティング装置、補聴器フィッティングプログラム、補聴器フィッティングサーバ、および補聴器フィッティング方法 H Chiho, K Yuki, M Sunohara JP Patent 6,625,898, 2017 | | 2017 |
| DNN を用いた補聴器フィッティング (福祉情報工学) 春田智穂， 上村佑基， 春原政浩， 舘野誠 電子情報通信学会技術研究報告= IEICE technical report: 信学技報 117 (66), 15-20, 2017 | | 2017 |
| DNN based hearing aids fitting C Haruta, Y Kamimura, M Sunohara, M Tateno Reports of the spring meeting the Acoustical Society of Japan, 2017 | | 2017 |
| DNN を用いた補聴器フィッティング 春田智穂， 上村佑基， 春原政浩， 舘野誠 電子情報通信学会技術研究報告= IEICE technical report: 信学技報 117 (66), 15-20, 2017 | | 2017 |
| Deep Neural Network-based fitting prescription for hearing aids: The efficacy of the proposed system Chiho Haruta, Yuki Kamimura, Masahiro Sunohara, Makoto Tateno International Hearing Aid Research Conference, 2016 | | 2016 |
| Portable Low-Latency Blind Source Separation System on Raspberry Pi R Sato, R Sugahara, C Haruta, Y Nakajima, N Ono | | |
