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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2024-09-12 16:20 |
Fukui | Development of a Fish Catch Prediction Model Using Machine Learning Tomohiro Tanaka, Yasuyuki Tahara, Akihiko Ohsuga, Yuichi Sei (UEC)  AI2024-7 |
In this study, a fish catch prediction model was developed using meteorological and tidal data, with the machine learnin... [more] | AI2024-7 pp.36-41 |
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| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Study on Scheduled Sampling for Neural Transducer-based ASR Takafumi Moriya, Takanori Ashihara, Hiroshi Sato, Kohei Matsuura, Tomohiro Tanaka, Ryo Masumura (NTT) EA2022-100 SIP2022-144 SP2022-64 |
In this paper, we propose scheduled sampling approaches suited for the recurrent neural network-transducer (RNNT) that i... [more] | EA2022-100 SIP2022-144 SP2022-64 pp.147-152 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 10:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Study on Hybrid RNN-T/Attention-based Streaming ASR with Triggered Chunkwise Attention and Dual Internal Language Model Integration Takafumi Moriya, Takanori Ashihara, Atsushi Ando, Hiroshi Sato, Tomohiro Tanaka, Kohei Matsuura, Ryo Masumura, Marc Delcroix (NTT), Takahiro Shinozaki (Tokyo Tech) EA2021-78 SIP2021-105 SP2021-63 |
In this paper we propose improvements to our recently proposed hybrid RNN-T/Attention architecture that includes a share... [more] | EA2021-78 SIP2021-105 SP2021-63 pp.90-95 |
| NLC | 2020-09-10 15:25 |
Online | Online | Unsupervised Domain Adaptation for Dialogue Sequence Labeling
-- Application to Contact Center Tasks -- Shota Orihashi, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Ryo Masumura (NTT) NLC2020-8 |
This paper presents an unsupervised domain adaptation for utterance-level sequence labeling of conversation in a contact... [more] | NLC2020-8 pp.34-39 |
| SP, EA, SIP | 2020-03-02 13:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
Data augmentation for ASR system by using locally time-reversed speech
-- Temporal inversion of feature sequence -- Takanori Ashihara, Tomohiro Tanaka, Takafumi Moriya, Ryo Masumura, Yusuke Shinohara, Makio Kashino (NTT) EA2019-110 SIP2019-112 SP2019-59 |
Data augmentation is one of the techniques to mitigate overfitting and improve robustness against several acoustic varia... [more] | EA2019-110 SIP2019-112 SP2019-59 pp.53-58 |
| SP, EA, SIP | 2020-03-02 15:45 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
Performance evaluation of distilling knowledge using encoder-decoder for CTC-based automatic speech recognition systems Takafumi Moriya, Hiroshi Sato, Tomohiro Tanaka, Takanori Ashihara, Ryo Masumura, Yusuke Shinohara (NTT) EA2019-131 SIP2019-133 SP2019-80 |
We present a novel training approach for connectionist temporal classification (CTC) -based automatic speech recognition... [more] | EA2019-131 SIP2019-133 SP2019-80 pp.175-180 |
| EA, SIP, SP | 2019-03-15 10:25 |
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 pp.191-196 |
| NLC, IPSJ-IFAT | 2019-02-07 14:45 |
Kyoto | Ryukoku University Omiya Campus | Call Scene Segmentation based on Neural Networks with Conversational Contexts Ryo Masumura, Tomohiro Tanaka, Atsushi Ando, Hosana Kamiyama, Takanobu Oba, Yushi Aono (NTT) NLC2018-39 |
Call scene segmentation that automatically splits contact center dialogues into several call scenes is useful for constr... [more] | NLC2018-39 pp.21-26 |
| SP | 2018-08-27 15:30 |
Kyoto | Kyoto Univ. | Neural Error Corrective Language Models with Multiple Hypotheses Tomohiro Tanaka, Ryo Masumura, Yushi Aono (NTT) SP2018-29 |
[more] | SP2018-29 pp.31-36 |
| MWP, OPE, EMT, MW, EST, IEE-EMT [detail] | 2017-07-20 13:30 |
Hokkaido | Obihiro Chamber of Commerce and Industry | A Study on Efficient Topology Optimization of Optical Device Using Finite Element Method With Slowly Varying Envelope Approximation Tomohiro Tanaka, Yasuhide Tsuji (Muroran Inst. of Tech.) EMT2017-15 MW2017-40 OPE2017-20 EST2017-17 MWP2017-17 |
In recent years, high-speed and large-capacity optical communication systems are desired because of the rapid growth of ... [more] | EMT2017-15 MW2017-40 OPE2017-20 EST2017-17 MWP2017-17 pp.49-54 |
| MRIS, ITE-MMS | 2017-06-09 11:35 |
Miyagi | Tohoku Univ. | Speeding up micromagnetic simulation and application to spin torque devices Tadashi Ataka, Atsushi Furuya, Tomohiro Tanaka, Chikako Yoshida, Kouichi Shimizu, Jun Fujisaki, Yuuji Uehara (Fujitsu Limited), Hirotaka Oshima (Fujitsu Laboratories Limited) |
[more] | |
| RECONF | 2016-09-05 16:00 |
Toyama | Univ. of Toyama | Tomohiro Tanaka, Kazuya Tanigawa, Tetsuo Hironaka (Hiroshima City Univ), Takashi Ishiguro (Taiyo Yuden) RECONF2016-30 |
(To be available after the conference date) [more] | RECONF2016-30 pp.29-34 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2015-12-02 13:55 |
Aichi | Nagoya Inst of Tech. | Automation of high performance system building for large vocabulary speech recognition using evolution strategy with pareto optimality Takafumi Moriya, Tomohiro Tanaka, Takahiro Shinozaki (Tokyo Tech), Shinji Watanabe (MERL), Kevin Duh (NAIST) SP2015-75 |
The performance of speech recognition tasks can be significantly improved by the use of deep neural networks (DNN). Howe... [more] | SP2015-75 pp.31-36 |
| MRIS, ITE-MMS | 2015-10-22 13:30 |
Osaka | Osaka Univ. | Micromagnetic analysis of dynamic magnetization process in an amorphous wire for MI sensor Yuji Uehara, Atsushi Furuya, Koichi Shimizu, Jun Fujisaki, Tadashi Ataka, Tomohiro Tanaka (Fujitsu), Hirotaka Oshima (Fujitsu Lab.), Koji S. Nakayama (Tohoku University), Shin Yabukami (Tohoku Gakuin University) MR2015-15 |
Magnetoimpedance (MI) sensors with ultrahigh sensitivity have been studied for application to wearable computers and med... [more] | MR2015-15 pp.1-5 |
| HIP | 2015-07-18 10:40 |
Fukuoka | Kyushu Sangyo University | Study of Estimating Critical Flicker Frequency from Heart Rate Variability Akihiro Chiba, Keisuke Tsunoda, Hiroshi Chigira, Tetsuya Ura, Osamu Mizuno, Tomohiro Tanaka (NTT) HIP2015-43 |
This paper presents a novel method for estimating the critical flicker frequency (CFF), a key measure of mental fatigue,... [more] | HIP2015-43 pp.7-12 |
| LOIS | 2015-03-06 16:10 |
Okinawa | A Study on Information Presentation Model for QoE Improvement
-- The Case of Nursing Care -- Takashi Isezaki, Akihiro Miyata, Tomoki Watanabe, Tomohiro Tanaka (NTT) LOIS2014-93 |
(To be available after the conference date) [more] | LOIS2014-93 pp.185-190 |
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