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Committee Date Time Place Paper Title / Authors Abstract Paper #
WIT, SP, IPSJ-SLP [detail] 2023-10-14
16:40		 Fukuoka Kyushu Institute of Technology
(Primary: On-site, Secondary: Online)		 Sequence-to-sequence Voice Conversion for Electrolaryngeal Speech Enhancement with Multi-stage Pretraining and Fine-tuning Techniques
Ding Ma, Lester Phillip Violeta, Kazuhiro Kobayashi, Tomoki Toda (Nagoya Univ.) SP2023-32 WIT2023-23		 Sequence-to-sequence (seq2seq) voice conversion (VC) models have great potential for electrolaryngeal (EL) speech to nor... [more] SP2023-32 WIT2023-23
pp.27-32
SP, IPSJ-SLP, EA, SIP [detail] 2023-02-28
10:10		 Okinawa
(Primary: On-site, Secondary: Online)		 Singing voice synthesis based on a frame-driven attention mechanism considering vocal timing deviation
Miku Nishihara, Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (NITech) EA2022-78 SIP2022-122 SP2022-42		 This paper proposes singing voice synthesis (SVS) based on a frame-driven attention mechanism considering vocal timing d... [more] EA2022-78 SIP2022-122 SP2022-42
pp.19-24
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]		 2019-12-06
13:55		 Tokyo NHK Science & Technology Research Labs. [Poster Presentation] Effectiveness of sequence-to-sequence acoustic modeling by using automatic generated labels
Kiyoshi Kurihara, Nobumasa Seiyama, Tadashi Kumano (NHK) SP2019-37		 We have proposed a method that uses yomigana (Japanese character readings) and prosodic symbols as input for sequence-to... [more] SP2019-37
pp.49-54
SP, IPSJ-SLP
(Joint)		 2017-07-27
16:15		 Miyagi Akiu Resort Hotel Crescent Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities and Evaluation of Dual Learning
Hiroyuki Miyoshi, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari (Univ. of Tokyo) SP2017-17		 Voice conversion (VC) using sequence-to-sequence learning of context posterior probabilities is proposed. Conventional V... [more] SP2017-17
pp.9-14
 Results 1 - 4 of 4  /   
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