Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIS |
2023-03-03 11:10 |
Chiba |
Chiba Institute of Technology (Primary: On-site, Secondary: Online) |
Investigation of introducing data augmentation methods to improve speech enhancement performance Reito Kasuga, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) SIS2022-52 |
The field of speech enhancement has been extensively researched worldwide, and many speech enhancement methods have been... [more] |
SIS2022-52 pp.64-69 |
SIS, ITE-BCT |
2022-10-13 14:15 |
Aomori |
Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Toward Improving Speech Naturalness Introducing a Capsule Structure for Speech Enhancement Networks Reito Kasuga, Tetsuya Shimamura, Yosuke Sugiura, Nozomiko Yasui (Saitama Univ.) SIS2022-12 |
Although the field of speech enhancement has been extensively studied around the world, phase tends to be neglected comp... [more] |
SIS2022-12 pp.7-12 |
SIS, ITE-BCT |
2022-10-14 09:40 |
Aomori |
Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Creation of subjective evaluation datasets for Print Quality Assessment Ryosuke Tonegawa, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ) SIS2022-15 |
There does not exist image quality assessment (IQA) dataset for image with print-specific defects so far. This dataset c... [more] |
SIS2022-15 pp.21-26 |
SIS, ITE-BCT |
2022-10-14 10:45 |
Aomori |
Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
High efficient satellite communication with ACM complying with precipitation amount Amane Miyamoto, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) SIS2022-18 |
In satellite communications, the increase in rainfall attenuation followed by the use of high frequencies has become an ... [more] |
SIS2022-18 pp.39-43 |
SIS, ITE-BCT |
2022-10-14 11:05 |
Aomori |
Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
A Study of Blind Estimation for Sparse Channel Yosuke Sugiura, Kaito Shinoda, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) SIS2022-19 |
In this paper, we propose an estimation method for sparse channel without a pilot symbol in wireless communication based... [more] |
SIS2022-19 pp.44-48 |
RCS, SIP, IT |
2022-01-20 14:05 |
Online |
Online |
Automatic Modulation Classification Based on SNR estimation using Multi-Task Learning Wataru Machida, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) IT2021-56 SIP2021-64 RCS2021-224 |
Automatic modulation classification is a technology that identifies the modulation type used in received signals and pla... [more] |
IT2021-56 SIP2021-64 RCS2021-224 pp.155-160 |
SIS |
2021-03-04 09:00 |
Online |
Online |
Optimization source-filtere based speech waveform generation using adversarial training Hayato Mitsui, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) SIS2020-35 |
This research aims to improve the accuracy of the source-filter based speech waveform generation model using deep learni... [more] |
SIS2020-35 pp.1-4 |
SIS |
2020-03-06 15:00 |
Saitama |
Saitama Hall (Cancelled but technical report was issued) |
Adversarial Training using Self-Attention Architecture for Speech Enhancement Network Yosuke Sugiura, Shimamura Tetsuya (Saitama Univ.) SIS2019-59 |
In this paper, we propose a new adversarial training for improving performance of the speech enhancement network.
In th... [more] |
SIS2019-59 pp.125-129 |
SIS |
2020-03-06 15:20 |
Saitama |
Saitama Hall (Cancelled but technical report was issued) |
Adversarial Learning Architecture Based on Edge Information for Image Completion Network Koichi Mori, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) SIS2019-60 |
[more] |
SIS2019-60 pp.131-135 |
PN |
2020-03-03 09:25 |
Kagoshima |
(Cancelled but technical report was issued) |
Packet Distribution for Improving Fault Tolerance in Multipath Routing Taichi Okumura, Masahiro Matsuno, Kyosuke Sugiura, Masaki Murakami, Uematsu Yoshihiko, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) PN2019-62 |
The importance of network infrastructure in people's lives and socio-economic activities has increased with the explosio... [more] |
PN2019-62 pp.59-64 |
EA |
2019-12-12 14:25 |
Fukuoka |
Kyushu Inst. Tech. |
Performance improvement of speech enhancement network by multitask learning including noise information Haruki Tanaka (NITTC), Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.), Ryoichi Miyazaki (NITTC) EA2019-70 |
In the signal processing field, there is a growing interest in speech enhancement.Recently, a lot of speech enhancement ... [more] |
EA2019-70 pp.31-36 |
PN |
2019-11-14 16:35 |
Kanagawa |
|
[Invited Lecture]
Research on Dynamic MAC Technologies for Future Massively Paralles and Sliced Optical Networks
-- Massively Parallel and Sliced Optical Network (204) -- Satoru Okamoto, Kyosuke Sugiura, Masaki Murakami, Eiji Oki, Naoaki Yamanaka (Keio Univ.) PN2019-25 |
Network traffic is increased dramatically. To support such huge traffic volume, transmission capacity of an optical fibe... [more] |
PN2019-25 pp.7-14 |
PN |
2019-11-15 13:50 |
Kanagawa |
|
Implementing Hierarchical Round-Robin Mapper Emulator for Realizing the Dynamic MAC Kyosuke Sugiura, Masaki Murakami, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) PN2019-31 |
SDM (Spatial Division Multiplexing) technology using multi-core and multi-mode fiber has been developed to cope with the... [more] |
PN2019-31 pp.49-54 |
PN |
2019-03-15 11:20 |
Okinawa |
Miyako Island Hirara Port Terminal Bldg. |
Architecture of Dynamic MAC using Bit-by-bit Mapping on Massively Parallel Optical Channels Kyosuke Sugiura, Shu Sekigawa, Masaki Murakami, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) PN2018-91 |
The Internet has overgrown, and the network traffic in Japan has increased dramatically. To deal with it, the transmissi... [more] |
PN2018-91 pp.47-54 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:00 |
Okinawa |
|
[Poster Presentation]
Speech Enhancement Using Non-Local Means Kyohei Mitani, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) EA2017-142 SIP2017-151 SP2017-125 |
In this paper, we propose a speech enhance method using Non-Local Means. In the proposed method, we focus on Non-Local M... [more] |
EA2017-142 SIP2017-151 SP2017-125 pp.227-230 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:00 |
Okinawa |
|
[Poster Presentation]
Voiceless Consonant Detection and Artificial Bandwidth Extension of Narrow Band Speech Shun Asawa, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) EA2017-143 SIP2017-152 SP2017-126 |
Usually, high frequency components of telephone speech are lost due to bandwidth limitation.
In this paper, we propose ... [more] |
EA2017-143 SIP2017-152 SP2017-126 pp.231-234 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 14:20 |
Okinawa |
|
A Study on Structure of Deep Neural Network for Speech Enhancement Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) EA2017-171 SIP2017-180 SP2017-154 |
In this paper, we study a structure of a deep neural network for speech enhancement.In speech enhancement, it is a big i... [more] |
EA2017-171 SIP2017-180 SP2017-154 pp.379-384 |
SIS |
2018-03-08 14:25 |
Aichi |
Meijo Univ. Tempaku Campus |
Pitch Estimation Using Windowless Weighted Auto-correlation Function Kyohei Mitani, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) SIS2017-58 |
In this paper, using Weighted Auto-Correlation Function of normalized spectrum, we propose a pitch estimation method in ... [more] |
SIS2017-58 pp.7-12 |
SIS |
2018-03-09 11:25 |
Aichi |
Meijo Univ. Tempaku Campus |
Improvement of QRM-MLD Method for MIMO Utilizing Noise Variance Ryotaro Konno, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) SIS2017-66 |
In this paper, we propose a new method for improving the bit error rate (BER) and the computational complexity in Maximu... [more] |
SIS2017-66 pp.51-56 |
SP, IPSJ-SLP, NLC, IPSJ-NL (Joint) [detail] |
2016-12-20 15:10 |
Tokyo |
NTT Musashino R&D |
[Poster Presentation]
Deep Neural Network Using Fundamental Frequency For Noise Robust Speaker Recognition Yoshihiro Suzuki, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) SP2016-58 |
In this paper, we propose a neural network architecture for speaker recognition to simplify learning process. In the pro... [more] |
SP2016-58 pp.53-56 |