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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA | 2024-05-22 14:15 |
Online | Online | 未定
-- 未定 -- Tsubasa Ochiai (NTT), Kazuma Iwamoto (Doshisha Univ.), Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki (NTT), Shigeru Katagiri (Doshisha Univ.) |
(To be available after the conference date) [more] | |
| EA | 2024-05-22 16:50 |
Online | Online | [Invited Talk]
Fundamentals of Diffusion-based Generative Models and their Application to Speech Enhancement and Separation Scheibler Robin (LY Corp.) |
(To be available after the conference date) [more] | |
| SIS | 2024-03-14 13:00 |
Kanagawa | Kanagawa Institute of Technology (Primary: On-site, Secondary: Online) |
On Time-Position Detection of Signals under Noise Considering Threshold
-- Applications of Fractal Dimension Filters -- Hideo Shibayama (Shibaura Institute of Technology), Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology)  SIS2023-45 |
Conflicts due to neighborhood noise can occur even when the sound pressure level is low. In such cases, the sound pressu... [more] | SIS2023-45 pp.1-6 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Improving training recipe of Remixed2Remixed for speech enhancement Li Li, Shogo Seki (CyberAgent) EA2023-95 SIP2023-142 SP2023-77 |
In the use of deep learning for speech enhancement, supervised learning models that use pairs of clean speech and artifi... [more] | EA2023-95 SIP2023-142 SP2023-77 pp.202-207 |
| SIS | 2023-12-08 09:50 |
Aichi | Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
Time-position Detection of Signal under Background Noise Using Fractal Dimensional Filter Hideo Shibayama (Shibaura Institute of Technology), Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology) SIS2023-34 |
Conflicts due to neighborhood noise occur even when noise levels are lower than those specified by environmental standar... [more] | SIS2023-34 pp.55-60 |
| SP, NLC, IPSJ-SLP, IPSJ-NL [detail] | 2023-12-02 13:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Effectiveness of Signal Compression in Speech Enhancement with Diffusion Models Yuki Nishi (Titech), Koji Iwano (Tokyo City Univ.), Koichi Shinoda (Titech) NLC2023-14 SP2023-34 |
(To be available after the conference date) [more] | NLC2023-14 SP2023-34 pp.1-6 |
| 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 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 11:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Analysis of Noisy-target Training for DNN-based speech enhancement and investigation towards its practical use Takuya Fujimura, Tomoki Toda (Nagoya Univ.) EA2022-112 SIP2022-156 SP2022-76 |
Deep neural network (DNN)-based speech enhancement usually uses a clean speech as a training target. However, it is hard... [more] | EA2022-112 SIP2022-156 SP2022-76 pp.221-226 |
| 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 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-17 15:00 |
Online | Online | SP2022-13 |
We investigate the method for unsupervised learning of artifacts correction networks used for post-processing of Multi B... [more] | SP2022-13 pp.49-54 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 13:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
The upper limit of subjective intelligibility score of speech enhancement using IRM
-- comparison between laboratory and crowdsourcing experiments -- Ayako Yamamoto, Toshio Irino (Wakayama Univ.), Shoko Araki, Kenichi Arai, Atsunori Ogawa, Keisuke Kinoshita, Tomohiro Nakatani (NTT) EA2021-74 SIP2021-101 SP2021-59 |
We performed subjective speech intelligibility experiments in a laboratory and using crowdsourcing to get a fundamental ... [more] | EA2021-74 SIP2021-101 SP2021-59 pp.64-69 |
| SP, IPSJ-SLP, IPSJ-MUS | 2021-06-19 09:30 |
Online | Online | [Invited Talk]
Toward a Unification of Various Speech Processing Tasks Based on End-to-End Neural networks Shinji Watanabe (CMU) SP2021-8 |
This presentation will introduce the recent progress of speech processing technologies based on end-to-end neural networ... [more] | SP2021-8 p.38 |
| SIS | 2020-12-01 11:25 |
Online | Online | [Tutorial Lecture]
A Theory for Controlling Musical Noise Based on Higher-Order Statistics Ryoichi Miyazaki, Takuya Fujimura (NITTC) SIS2020-30 |
Although nonlinear speech enhancement methods can significantly eliminate background noise, it is known to generate musi... [more] | SIS2020-30 pp.18-23 |
| 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 |
| SP, EA, SIP | 2020-03-03 09:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
Semi-supervised Self-produced Speech Enhancement and Suppression Based on Joint Source Modeling of Air- and Body-conducted Signals Using Variational Autoencoder Shogo Seki, Moe Takada, Kazuya Takeda, Tomoki Toda (Nagoya Univ.) EA2019-140 SIP2019-142 SP2019-89 |
This paper proposes a semi-supervised method for enhancing and suppressing self-produced speech, using a variational aut... [more] | EA2019-140 SIP2019-142 SP2019-89 pp.225-230 |
| 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 |
| EA, SIP, SP | 2019-03-14 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
MVDR beamformer based on time-frequency-bin-wise switching technique for underdetermined speech enhancement Kouei Yamaoka (Univ. of Tsukuba), Nobutaka Ono (Tokyo Metropolitan Univ.), Shoji Makino, Takeshi Yamada (Univ. of Tsukuba) EA2018-124 SIP2018-130 SP2018-86 |
In this paper, we present an underdetermined speech enhancement method called the time-frequency-bin-wise switching beam... [more] | EA2018-124 SIP2018-130 SP2018-86 pp.149-154 |
| EA, ASJ-H, EMM, IPSJ-MUS [detail] | 2018-11-21 13:30 |
Ishikawa | Hotel Koshuen | Evaluation of DNN-based Low-Musical-Noise Speech Enhancement Using Kurtosis Matching Satoshi Mizoguchi, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari (UTokyo) EA2018-66 EMM2018-66 |
This paper proposes DNN-based speech enhancement with low musical noise by kurtosis matching. Musical noise, artifacts g... [more] | EA2018-66 EMM2018-66 pp.19-24 |
| EA, ASJ-H, EMM, IPSJ-MUS [detail] | 2018-11-22 10:00 |
Ishikawa | Hotel Koshuen | [Invited Talk]
Phase reconstruction for speech enhancement and its effect on array processing Yukoh Wakabayashi (TMU) EA2018-80 EMM2018-80 |
Phase spectrum processing for speech enhancement, so called ``phase reconstruction,'' has been particularly received att... [more] | EA2018-80 EMM2018-80 pp.163-168 |
| SP, IPSJ-SLP (Joint) |
2018-07-26 16:45 |
Shizuoka | Sago-Royal-Hotel (Hamamatsu) | Single channel noisy speech recognition based on combination of noisy speech and enhanced speech Masakiyo Fujimoto, Hisashi Kawai (NICT) SP2018-19 |
In many cases, single channel speech enhancement seriously deteriorates speech recognition accuracy due to the influence... [more] | SP2018-19 pp.15-20 |
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