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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
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
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Voice activity detection under high levels of noise using gated convolutional neural networks
Li Li, Koshino Yuki, Matsumoto Mitsuo, Makino Shoji (Univ. Tsukuba) EA2018-102 SIP2018-108 SP2018-64
This paper deals with voice activity detection (VAD) tasks under high-level noise environments where signal-to-noise rat... [more] EA2018-102 SIP2018-108 SP2018-64
pp.19-24
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 2016-08-24
16:15
Kyoto ACCMS, Kyoto Univ. [Poster Presentation] Joint Enhancement of Spectral and Cepstral Sequences of Noisy Speech
Li Li (Univ.Tsukuba), Hirokazu Kameoka, Takuya Higuchi (NTT), Hiroshi Saruwatari (Univ.Tokyo), Shoji Makino (Univ.Tsukuba) SP2016-32
While spectral domain speech enhancement algorithms using non-negative matrix factorization (NMF) are powerful in terms ... [more] SP2016-32
pp.29-32
 Results 1 - 5 of 5  /   
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