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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA 2024-05-22
13:50		 Online Online Determined BSS based on the proximal average of IVA and DNNs
Kazuki Matsumoto (Waseda Univ.), Koki Yamada, Kohei Yatabe (TUAT) EA2024-3		 Determined BSS separates source signals by applying the separation matrices, which are estimated under some assumption o... [more] EA2024-3
pp.14-19
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
16:20		 Okinawa
(Primary: On-site, Secondary: Online)		 Comparison of DNN architectures for determined BSS by proximal average of IVA and DNN
Kazuki Matsumoto (Waseda Univ.), Koki Yamada, Kohei Yatabe (TUAT) EA2023-88 SIP2023-135 SP2023-70		 We have proposed a framework called PA-BSS for high-performance separation matrix estimation using deep denoisers based ... [more] EA2023-88 SIP2023-135 SP2023-70
pp.162-167
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-01
14:45		 Okinawa
(Primary: On-site, Secondary: Online)		 Target speaker extraction based on conditional variational autoencoder and directional information in underdetermined condition
Rui Wang, Li Li, Tomoki Toda (Nagoya Univ) EA2021-76 SIP2021-103 SP2021-61		 This paper deals with a dual-channel target speaker extraction problem in underdetermined conditions. A blind source sep... [more] EA2021-76 SIP2021-103 SP2021-61
pp.76-81
EA 2019-12-13
13:00		 Fukuoka Kyushu Inst. Tech. Speaker-independent source separation with multichannel variational autoencoder
Li Li (Univ. Tsukuba), Hirokazu Kameoka (NTT), Shota Inoue, Shoji Makino (Univ. Tsukuba) EA2019-77		 The multichannel variational autoencoder method (MVAE) is a recently proposed determined source separation method, which... [more] EA2019-77
pp.79-84
EA, SIP, SP 2019-03-14
10:25		 Nagasaki i+Land nagasaki (Nagasaki-shi) Blind speech separation based on approximate joint diagonalization utilizing correlation between neighboring frequency bins
Taiki Asamizu, Toshihiro Furukawa (TUS) EA2018-100 SIP2018-106 SP2018-62		 In this paper, we propose a new method that extends the approximate joint diagonalization blind speech separation (BSS).... [more] EA2018-100 SIP2018-106 SP2018-62
pp.7-12
EA, SIP, SP 2019-03-15
13:30		 Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] An Evaluation of Underdetermined Source Separation Based on Multichannel Variational Autoencoder
Shogo Seki (Nagoya Univ.), Hirokazu Kameoka (NTT), Li Li (Univ. Tsukuba), Tomoki Toda, Kazuya Takeda (Nagoya Univ.) EA2018-154 SIP2018-160 SP2018-116		 This paper deals with a multichannel audio source separation problem under underdetermined conditions. Multichannel Non-... [more] EA2018-154 SIP2018-160 SP2018-116
pp.323-328
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
EA 2012-06-08
15:10		 Shizuoka Yamaha Co. Performance comparison of MMSE and sparse models in source separation using multichannel Wiener filter
Ryutaro Sakanashi, Shigeki Miyabe, Takeshi Yamada, Shoji Makino (Univ. Tsukuba) EA2012-43		 Multichannel Wiener filter proposed by Duong {\it et al}. can conduct underdetermined blind source separation (BSS) with... [more] EA2012-43
pp.61-66
SIP, SIS, SP 2007-09-28
09:30		 Aichi Nagoya Inst. of Tech. Solution of Underdetermined Speech Separation Problems by Combining ICA and Time-Frequency Masking Methods
Fan Yang, Nozomu Hamada (Keio Univ.) SIP2007-95 SIS2007-31 SP2007-57		 Blind source separation of speech signals has many potential applications. Toward practical applications, underdetermine... [more] SIP2007-95 SIS2007-31 SP2007-57
pp.1-6
 Results 1 - 9 of 9  /   
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