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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 35  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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-3DIT [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
SIS 2016-03-11
13:50
Tokyo Tokyo City Univ. Narrowband Interference Mitigation via Symbol Interleaving for UWB Communication Systems
Eisaku Ogawa, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) SIS2015-70
In this paper, we propose a new method for mitigating a narrowband interference in Ultra-WideBand (UWB) communication sy... [more] SIS2015-70
pp.129-134
SIS, IPSJ-AVM 2015-09-04
11:10
Osaka Kansai Univ. Importance of Spectral Envelope in Bone-Conducted Speech
Shunsuke Handa, Tetsuya Shimamura (Saitama Univ.), Hisanori Makinae (NRIPS) SIS2015-27
In highly noise environments, it is very difficult to make speech communication smooth. Thereby, the bone-conducted spee... [more] SIS2015-27
pp.75-80
SIS 2015-03-06
09:50
Tokyo Meiji Univ. Nakano Campus (Tokyo) Sub-Optimum Maximum Likelihood Modulation Classification Algorithm Using Multiple Antennas
Kenta Homma, Tetsuya Shimamura (Saitama Univ.) SIS2014-104
Blind modulation classification (MC) plays an important role in many wireless communication systems
such as cognitive r... [more]
SIS2014-104
pp.73-78
SIS 2014-12-18
11:10
Kyoto Kyoto Research Park (Kyoto City) A Study on Pre-processing of Linear Prediction Methods for Formant Estimation
Takuma Kaneko, Tetsuya Shimamura (Saitama Univ) SIS2014-70
Formant is one of the most important characteristic parameters of speech. Linear prediction method is
a representative ... [more]
SIS2014-70
pp.19-24
SIS 2014-12-18
11:30
Kyoto Kyoto Research Park (Kyoto City) Some Properties of Iterative Wiener Filter for Speech Enhancement
Emiko Abe, Tetsuya Shimamura (Saitama Univ.) SIS2014-71
In this paper, we show some properties of iterative Wiener filter for speech enhancement with SNR (Signal-to-Noise Ratio... [more] SIS2014-71
pp.25-30
SIP, CAS, CS 2013-03-14
11:10
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) Direct Sum Decomposition of Krylov Subspace and Application to FIR/IIR Adaptive Filters
Yoshihiro Kawata, Tetsuya Shimamura (Saitama Univ.) CAS2012-112 SIP2012-143 CS2012-118
Deriving a new iterative equation for orthonomal basis of Krylov subspace, we develop a fast recursive solution for the ... [more] CAS2012-112 SIP2012-143 CS2012-118
pp.93-98
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