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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-16 16:50 |
Tottori | (Primary: On-site, Secondary: Online) |
Understanding level estimation using similarities between users' understanding expression patterns Yuki Kitagishi, Naohiro Tawara, Atsunori Ogawa, Taichi Asami (NTT), Tomoko Yonezawa (Kansai Univ.)  PRMU2023-26 |
We define three-degree understanding levels of low/neutral/high as an audience member looks like they are understanding ... [more] | PRMU2023-26 pp.56-61 |
| HIP | 2021-10-21 10:10 |
Online | Online | Understanding Estimation of Web-Meeting Participants Using Multiple-Understanding States by Web Camera Video Yuki Kitagishi, Hosana Kamiyama, Takeshi Mori, Taichi Asami, Naohiro Tawara (NTT), Tomoko Yonezawa (Kansai Univ.) HIP2021-30 |
In this study, we propose a new estimation method of the five-level participant's understanding in a web conference from... [more] | HIP2021-30 pp.1-6 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 09:35 |
Tokyo | NHK Science & Technology Research Labs. | Time-domain convolutional denoising autoencoder for multi-channel speech enhancement Naohiro Tawara, Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.) SP2019-34 |
[more] | SP2019-34 pp.1-6 |
| PRMU, IPSJ-CVIM | 2019-05-30 11:20 |
Tokyo | Daily Fish Catch Forecasting For Fixed Shore Net Fishing Using State Space Model Describing Probabilistic Behavior of Fish Inside Net Yuya Kokaki, Naohiro Tawara, Tetsunori Kobayashi, Kazuo Hashimoto (Waseda Univ.), Masayoshi Hukushima, Akira Idoue (KDDI Research), Ogawa Tetsuji (Waseda Univ.) PRMU2019-3 |
A state space model that incorporates knowledge on fixed shore net fishing was developed and suc- cessfully applied to d... [more] | PRMU2019-3 pp.13-18 |
|
| EA, SIP, SP | 2019-03-14 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
Diffuse noise reduction using adversarial denoising autoencoder Hikari Tanabe, Naohiro Tawara, Tetsunori Kobayashi (Waseda Univ.), Masaru Fujieda, Katagiri Kazuhiro, Takashi Yazu (OKI), Tetsuji Ogawa (Waseda Univ.) EA2018-125 SIP2018-131 SP2018-87 |
In this study, we attempted to remove diffuse noise by a model combining a prefilter and an adversarial denoising autoen... [more] | EA2018-125 SIP2018-131 SP2018-87 pp.155-160 |
| SP, SIP, EA | 2017-03-02 09:00 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
Use of the end of sentence and speaker-derived information in recurrent neural network language models for multiparty conversations. Hiroto Ashikawa, Naohiro Tawara (Waseda Univ.), Atsunori Ogawa, Tomoharu Iwata (NTT), Tetsuji Ogawa, Tetsunori Kobayashi (Waseda Univ.) EA2016-133 SIP2016-188 SP2016-128 |
Information on the end of sentence (EOS) and speaker alternation was exploited in recurrent neural network-based languag... [more] | EA2016-133 SIP2016-188 SP2016-128 pp.287-290 |
| IBISML | 2012-03-12 11:25 |
Tokyo | The Institute of Statistical Mathematics | Fully Bayesian speaker clustering based on hierarchical structured Dirichlet process mixture model Naohiro Tawara, Tetsuji Ogawa (Waseda Univ.), Shinji Watanabe (NTT/MERL), Atsushi Nakamura (NTT), Tetsunori Kobayashi (Waseda Univ.) IBISML2011-90 |
We proposed a novel speaker clustering method by estimating the structure of a fully Bayesian utterance generative model... [more] | IBISML2011-90 pp.21-28 |
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