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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] | |
| 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 |
| CAS, CS | 2024-03-14 13:30 |
Okinawa | Characterization of Semantic Communications in Speech Signal Transmission Futo Iwanaga, Daisuke Umehara (Kyoto Inst. of Tech.) CAS2023-118 CS2023-111 |
In recent years, the volume of data in data communication has surged, Characterization of Semantic Communications in Spe... [more] | CAS2023-118 CS2023-111 pp.41-46 |
|
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 10:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
An Investigation on the Speech Recovery from EEG Signals Using Transformer Tomoaki Mizuno (The Univ. of Electro-Communications), Takuya Kishida (Aichi Shukutoku Univ.), Natsue Yoshimura (Tokyo Tech), Toru Nakashika (The Univ. of Electro-Communications) EA2023-108 SIP2023-155 SP2023-90 |
Synthesizing full speech from ElectroEncephaloGraphy(EEG) signals is a challenging task. In this paper, speech reconstru... [more] | EA2023-108 SIP2023-155 SP2023-90 pp.277-282 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 15:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Investigation of objective intelligibility metrics based on speech foundation models for Clarity Prediction Challenge 2 Katsuhiko Yamamoto (CyberAgent) EA2023-119 SIP2023-166 SP2023-101 |
Speech Foundation Models (SFMs), which use components like the encoder layer of Whisper, have been suggested to separate... [more] | EA2023-119 SIP2023-166 SP2023-101 pp.334-339 |
| EA, ASJ-H, ASJ-MA, ASJ-SP | 2023-07-02 15:10 |
Hokkaido | Speech Restoration of Spectrogram Images Printed in a Document "Visible Speech" Published in 1947 Naofumi Aoki (Hokkaido Univ.) EA2023-6 |
The restoration of speech materials recorded in the past might be regarded as a study in acoustical archeology. It may p... [more] | EA2023-6 pp.12-15 |
|
| HIP, HCS, HI-SIGCOASTER [detail] | 2023-05-15 10:20 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Cognitive Load Estimation of Speech-in-Noise Recall Task with State-Space Models Mateusz Dubiel (uni.lu), Minoru Nakayama (Tokyo Tech.), Xin Wang (NII) HCS2023-7 HIP2023-7 |
Cognitive workload during a listening and recall task was estimated using a state-space model based on metrics of pupill... [more] | HCS2023-7 HIP2023-7 pp.29-32 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 15:10 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
[Invited Talk]
-- Yuma Koizumi (Google Research) PRMU2022-87 IBISML2022-94 |
Machine learning tasks that deal with acoustic signals can be broadly classified into "recognizing sounds" and "generati... [more] | PRMU2022-87 IBISML2022-94 p.149 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 13:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Multiple sound spot synthesis meets multilingual speech synthesis
-- Implementation is really all we need -- Takuma Okamoto (NICT) EA2022-87 SIP2022-131 SP2022-51 |
A multilingual multiple sound spot synthesis system is implemented as a user interface for real-time speech translation ... [more] | EA2022-87 SIP2022-131 SP2022-51 pp.73-76 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Modelling cognitive load with ocular responses during a noisy synthetic speech recall task Mateusz Dubiel (uni.lu), Minoru Nakayama (Tokyo Tech.), Xin Wang (NII) |
We applied state-space models to estimate the cognitive workload based on participants' reactions to speech signals (i... [more] |
|
| EA, EMM, ASJ-H | 2022-11-22 13:00 |
Online | Online | [Fellow Memorial Lecture]
Security and Privacy Preservation for Speech Signal
-- Approach from speech information hiding technology -- Masashi Unoki (JAIST) EA2022-60 EMM2022-60 |
Non-authentic but skillfully fabricated artificial replicas of authentic media in the real world are known as “media clo... [more] | EA2022-60 EMM2022-60 pp.99-104 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-18 15:00 |
Online | Online | Unsupervised Training of Sequential Neural Beamformer Using Blindly-separated and Non-separated Signals Kohei Saijo, Tetsuji Ogawa (Waseda Univ.) SP2022-25 |
We present an unsupervised training method of the sequential neural beamformer (Seq-NBF) using the separated signals fro... [more] | SP2022-25 pp.110-115 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 14:05 |
Online | Online | [Poster Presentation]
A unified source-filter network for neural vocoder Reo Yoneyama, Yi-Chiao Wu, Tomoki Toda (Nagoya Univ.) EA2020-69 SIP2020-100 SP2020-34 |
In this paper, we propose a method to develop a neural vocoder using a single network based on the source-filter theory.... [more] | EA2020-69 SIP2020-100 SP2020-34 pp.57-62 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 14:05 |
Online | Online | [Poster Presentation]
Noise-robust time-domain speech separation with basis signals for noise Kohei Ozamoto (Tokyo Tech), Koji Iwano (TCU), Kuniaki Uto, Koichi Shinoda (Tokyo Tech) EA2020-70 SIP2020-101 SP2020-35 |
Recently, speech separation using deep learning has been extensively studied. TasNet, a time-domain method that directly... [more] | EA2020-70 SIP2020-101 SP2020-35 pp.63-67 |
| SIS | 2020-03-06 14:40 |
Saitama | Saitama Hall (Cancelled but technical report was issued) |
An implusive noise detection method in noisy speech signals using the short time Fourier transform Sho Hasegawa, Eisuke Horita (Kanazawa Univ.) SIS2019-58 |
The short-time Fourier transform based method to detect impulsive noises from speech signals is expressed. Especially W... [more] | SIS2019-58 pp.119-124 |
| 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 | 2020-03-03 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 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Time-Varying Complex AR speech analysis based on l2-norm regularization Keiichi Funaki (Univ. of the Ryukyus) SP2019-41 |
Linear prediction (LP) is a mathematical operation estimating an all-pole spectrum from the speech signal. It is an ess... [more] |
SP2019-41 pp.73-77 |
| WIT, SP | 2019-10-27 09:20 |
Kagoshima | Daiichi Institute of Technology | Word Recognition using word likelihood vector from speech-imagery EEG Satoka Hirata, Yurie Iribe (Aichi Prefectual Univ.), Kentaro Fukai, Kouichi Katsurada (Tokyo Univ. of Science), Tsuneo Nitta (Waseda Univ./Toyohashi Univ. of Tech.) SP2019-29 WIT2019-28 |
Previous research suggests that humans manipulate the machine using their electroencephalogram called BCI （Brain Compute... [more] | SP2019-29 WIT2019-28 pp.69-73 |
| EA, ASJ-H | 2019-08-09 10:30 |
Miyagi | Tohoku Univ. | Study on Robust Method for Blindly Estimating Speech Transmission Index using Convolutional Neural Network with Temporal Amplitude Envelope Suradej Doungpummet (JAIST), Jessada Karunjana (NASDA), Waree Kongprawechnon (SIIT), Masashi Unoki (JAIST) EA2019-30 |
We have developed a robust scheme for blindly estimating speech transmission index (STI) in noisy reverberant environmen... [more] | EA2019-30 pp.47-52 |
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