IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 41  /  [Next]  
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
15:20
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
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
SIS, IPSJ-AVM, ITE-3DMT [detail] 2018-06-08
09:30
Hokkaido Jozankei View Hotel [Tutorial Lecture] Fight against noise in the speech field
Tetsuya Shimamura (Saitama Univ.)
 [more]
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
EA 2016-07-08
14:45
Shizuoka Yamaha, Toyooka Factory Artificial Bandwidth Extension of Narrow Band Speech Using Spectral Envelope and Voiceless Consonant Information
Shun Asawa, Yosuke Sugiura, Tetsuya shimamura (Saitama Univ.) EA2016-18
In this paper, we propose a new artificial bandwidth extension technique for telephone speech.
Usually, high frequency ... [more]
EA2016-18
pp.57-62
EA 2016-07-08
15:10
Shizuoka Yamaha, Toyooka Factory Adding Phase Information to Cross-Correlation Functions with Binary Signal for Speech Enhancement
Kyohei Mitani, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) EA2016-19
In this paper, adding phase information to the cross-correlation function between speech signal and its binary signal, w... [more] EA2016-19
pp.63-68
SIS 2016-03-10
10:20
Tokyo Tokyo City Univ. Addition of Frequency and Amplitude Fluctuations on Music to Obtain Comfortable Feelings
Shohei Fukuda, Tetsuya Shimamura (Saitama Univ.) SIS2015-49
In this paper, we propose a new method to obtain comfortable feelings by giving 1/f fluctuations,
which are to be effe... [more]
SIS2015-49
pp.7-11
SIS 2016-03-11
13:30
Tokyo Tokyo City Univ. An Improved PTS Method for PAPR Reduction Using Constellation Reshaping of OFDM Signals
Hongxiang Chu, Tetsuya Shimamura (Saitama Univ.) SIS2015-69
Partial transmit sequence (PTS) is one of the most well-known techniques to reduce the peak-to-average power ratio (PAPR... [more] SIS2015-69
pp.123-128
 Results 1 - 20 of 41  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan