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Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
Online Online Estimation of imagined speech from electrocorticogram with an encoder-decoder model
Kotaro Hayashi, Shuji Komeiji (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (TokyoTech), Toshihisa Tanaka (TUAT) EA2020-87 SIP2020-118 SP2020-52
Recent advances in signal processing and machine learning technologies have made it possible to estimate and reconstruct... [more] EA2020-87 SIP2020-118 SP2020-52
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
Online Online A Vocoder-free Any-to-Many Voice Conversion using Pre-trained vq-wav2vec
Takeshi Koshizuka, Hidefumi Ohmura, Kouichi Katsurada (TUS) EA2020-89 SIP2020-120 SP2020-54
Voice conversion (VC) is a technique that converts speaker-dependent non-linguistic information to another speaker's one... [more] EA2020-89 SIP2020-120 SP2020-54
WIT, SP, IPSJ-SLP [detail] 2020-10-22
Online Online [Invited Talk] NHK's activities on Japanese end-to-end speech synthesis
Kiyoshi Kurihara (NHK) SP2020-11 WIT2020-12
The main business of NHK (Japan Broadcasting Corporation) is the production and broadcasting of programs. Many programs ... [more] SP2020-11 WIT2020-12
EA, SIP, SP 2019-03-15
Nagasaki i+Land nagasaki (Nagasaki-shi) Neural Language Models based on Conditional Hierarchical Recurrent Encoder-Decoder for Multi-Party Conversational Speech Recognition
Ryo Masumura, Tomohiro Tanaka, Atsushi Ando, Takanobu Oba, Yushi Aono (NTT) EA2018-131 SIP2018-137 SP2018-93
This paper presents fully neural network based language models (LMs) that can leverage long-range conversational context... [more] EA2018-131 SIP2018-137 SP2018-93
SP 2019-01-27
Ishikawa Kanazawa-Harmonie Evaluation of end-to-end speech synthesis method using speaking styles
Kiyoshi Kurihara, Nobumasa Seiyama, Tadashi Kumano, Atsushi Imai (NHK) SP2018-58
The purpose of this study was to conduct end-to-end text-to-speech synthesis in Japanese; we developed a system that use... [more] SP2018-58
PRMU 2018-12-13
Miyagi   An attention-based encoder-decoder for recognizing Japanese historical document recognition
Le Duc Anh (CODH), Mochihashi daichi (ISM), Masuda katsuya, Mima Hideki (UT) PRMU2018-78
Inspired by the recent successes of attention based encoder-decoder (AED) approach on image captioning, machine translat... [more] PRMU2018-78
(Joint) [detail]
Tokyo Waseda Univ. Nishiwaseda Campus Evaluation of Japanese end-to-end speech synthesis method inputting kana and prosodic symbols
Kiyoshi Kurihara, Nobumasa Seiyama, Tadashi Kumano, Atsushi Imai (NHK) SP2018-49
The purpose of this study was to conduct end-to-end text-to-speech synthesis in Japanese; we developed a system that use... [more] SP2018-49
(Joint) [detail]
Tokyo Waseda Univ. Nishiwaseda Campus Application of Neural Title Generation as News Editing Assistant
Kazuma Murao (Yahoo Japan Corporation), Hayato Kobayashi (Yahoo Japan Corporation/RIKEN AIP), Taichi Yatsuka, Ken Kobayashi, Takeshi Masuyama, Tatsuru Higurashi, Yoshimune Tabuchi (Yahoo Japan Corporation) NLC2018-34
There have been many studies on automatic title generation based on neural networks.
However, there are a number of cha... [more]
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