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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA | 2024-05-22 13:25 |
Online | Online | [more] | ||
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Accelerating and stabilizing vectorwise coordinate descent for spatially regularized independent low-rank matrix analysis Yuto Ishikawa, Takuya Okubo, Norihiro Takamune (UTokyo), Tomohiko Nakamura (AIST), Daichi Kitamura (NIT Kagawa), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha)  EA2023-68 SIP2023-115 SP2023-50 |
Spatially regularized independent low-rank matrix analysis (SR-ILRMA) is the method that introduces the spatial prior in... [more] | EA2023-68 SIP2023-115 SP2023-50 pp.43-50 |
| EA, ASJ-H | 2022-08-04 15:15 |
Miyagi | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Audio Source Separation Combining Wavelet Transform and Deep Neural Network Tomohiko Nakamura (Univ. Tokyo) EA2022-32 |
Audio source separation is a technique of separating an observed audio signal into individual source signals. The use of... [more] | EA2022-32 p.25 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 13:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Sound Field Estimation from Small Number of Observations by Deep Learning with Difference-Approximation-Based Helmholtz-Equation Loss Function Kazuhide Shigemi, Shoichi Koyama, TomohikoNakamura, Hiroshi Saruwatari (UTokyo) EA2021-85 SIP2021-112 SP2021-70 |
We propose a single-frequency sound field estimation method from a small number of observations that uses a loss functio... [more] | EA2021-85 SIP2021-112 SP2021-70 pp.132-139 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 15:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Interpolation of head-related transfer function from small amount of observation data using deep learning based on spherical wavefunction expansion Yuki Ito, Tomohiko Nakamura, Shoichi Koyama, Hiroshi Saruwatari (UTokyo) EA2021-90 SIP2021-117 SP2021-75 |
In binaural synthesis, listeners' individual head-related transfer functions (HRTFs) are necessary for highly-immersive ... [more] | EA2021-90 SIP2021-117 SP2021-75 pp.163-170 |
| SP, EA, SIP | 2020-03-03 09:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Time-domain audio source separation using multiresolution deep layered analysis based on simultaneous learning of neural networks and wavelet basis functions Shihori Kozuka, Tomohiko Nakamura, Hiroshi Saruwatari (UTokyo) EA2019-149 SIP2019-151 SP2019-98 |
Wave-U-Net is one of state-of-the-art deep neural networks (DNNs) for time-domain audio source separa-tion (TDASS). Howe... [more] | EA2019-149 SIP2019-151 SP2019-98 pp.279-284 |
| EA, EMM | 2019-11-22 15:30 |
Ishikawa | Kanazawa Institute of Technology | EA2019-60 EMM2019-88 |
In this paper, we propose a time-domain audio source separation method using down-sampling and up-sampling layers based ... [more] | EA2019-60 EMM2019-88 pp.41-48 |
| MWP, OPE, EMT, MW, EST, IEE-EMT [detail] | 2017-07-21 15:05 |
Hokkaido | Obihiro Chamber of Commerce and Industry | Relation between Structure Parameter of Circular Patch Array Wave Absorber and Its Winding Ratio of Transformer in Equivalent Circuit Daisuke Kitahara, Tomohiko Nakamura, Ryosuke Suga (Aoyama Gakuin Univ.), Kiyomichi Araki (Tokyo Tech.), Osamu Hashimoto (Aoyama Gakuin Univ.) EMT2017-40 MW2017-65 OPE2017-45 EST2017-42 MWP2017-42 |
[more] | EMT2017-40 MW2017-65 OPE2017-45 EST2017-42 MWP2017-42 pp.195-199 |
| EA, SP, SIP | 2016-03-28 13:15 |
Oita | Beppu International Convention Center B-ConPlaza | [Poster Presentation]
Super-Resolution Vocal Tract Spectrum Estimation with Missing Data Imputation Using Non-Negative Matrix Factorization Tomohiko Nakamura (Todai), Hirokazu Kameoka (Todai/NTT) EA2015-83 SIP2015-132 SP2015-111 |
This report addresses the problem of estimating vocal tract spectra from speech signals. Spectra of speech signals can b... [more] | EA2015-83 SIP2015-132 SP2015-111 pp.99-104 |
| SP, IPSJ-MUS | 2014-05-24 11:30 |
Tokyo | Underdetermined Blind Separation of Moving Sources Based on Probabilistic Modeling Takuya Higuchi, Norihiro Takamune, Tomohiko Nakamura (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) SP2014-20 |
This paper deals with the problem of the underdetermined blind separation and tracking of moving sources. In practical s... [more] | SP2014-20 pp.211-216 |
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