Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2018-12-10 13:15 |
Tokyo |
Waseda Univ. Nishiwaseda Campus |
[Invited Talk]
Review of Automatic Speech Recognition Methodology
-- Outlook of Acoustic-to-Word Model -- Tatsuya Kawahara (Kyoto Univ.) SP2018-48 |
The methodology of speech recognition has been changing due to the introduction of deep learning, in particular end-to-e... [more] |
SP2018-48 pp.25-30 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2018-12-10 16:30 |
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 pp.89-94 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2018-12-11 09:00 |
Tokyo |
Waseda Univ. Nishiwaseda Campus |
Speech analysis and synthesis using genetic algorithm and Fujisaki model Tomio Takara (Univ. Ryukyus), Ryoichi Eto (Inter. Sys.) SP2018-50 |
We propose a model of infant’s word acquisition by speech mimicking. We use vowel space parameter representing a gesture... [more] |
SP2018-50 pp.101-106 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2018-12-11 13:10 |
Tokyo |
Waseda Univ. Nishiwaseda Campus |
[Invited Talk]
Deep Learning and Scientific Computation Environments Kotaro Nakayama (Tokyo Univ./NABLAS) NLC2018-29 |
(To be available after the conference date) [more] |
NLC2018-29 p.1 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2018-12-11 14:15 |
Tokyo |
Waseda Univ. Nishiwaseda Campus |
Automatic Extraction of Bilingual Sentences by Similarity based on Earth Mover's Distance using Word Embeddings and Difference of Sentence Length Ryo Tanoue, Hiroshi Echizen'ya (Hokkai-Gakuen Univ.), Kenji Araki (Hokkaido Univ.) NLC2018-30 |
In this paper, we propose new method to automatically extract bilingual sentences from comparable corpus without high qu... [more] |
NLC2018-30 pp.3-8 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2018-12-12 11:00 |
Tokyo |
Waseda Univ. Nishiwaseda Campus |
Data augmentation using stereotypical reply for patients' tweet identification Reine Asakawa, Tomoyosi Akiba (TUT) NLC2018-31 |
In this study, we try to identify patients' tweets for symptom surveillance using Twitter.
This functionality is indis... [more] |
NLC2018-31 pp.55-60 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2018-12-12 13:00 |
Tokyo |
Waseda Univ. Nishiwaseda Campus |
[Invited Lecture]
Itsumi Saito (NTT) NLC2018-32 |
[more] |
NLC2018-32 p.61 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2018-12-12 16:30 |
Tokyo |
Waseda Univ. Nishiwaseda Campus |
Proposing an Unsupervised Approach to Evaluate Essays Using IDF on Reference Data Masayuki Ohno, Koichi Takeuchi, Kota Motojin, Yuya Obata, Masahiro Taguchi, Yoshihiko Inada, Masaya Iizuka, Tatsuhiko Abo, Hitoshi Ueda (Okayama Univ.) NLC2018-33 |
In this paper, we describe an on-going study of developing an
automatic essay-scoring system in Japanese. Essay scoring... [more] |
NLC2018-33 pp.103-108 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2018-12-12 17:00 |
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] |
NLC2018-34 pp.109-115 |