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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 15:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Perceptible delay of moving sound source signals with different azimuth and bandwidth Yuuki Saito, Masayuki Nishiguchi, Kanji Watanabe, Koji Abe (Akita Prefectural Univ.)  EA2023-123 SIP2023-170 SP2023-105 |
Technologies that enable the reproduction of highly realistic 3D audio fields are becoming increasingly important due to... [more] | EA2023-123 SIP2023-170 SP2023-105 pp.360-367 |
| HIP, ITE-HI, VRPSY, ASJ-H [detail] | 2024-02-23 14:00 |
Okinawa | The Effects of Aging on Audio-visual Integration in Motion Perception Shinya Harada (Kumamoto Univ.), Ryo Teraoka (Muroran IT), Naoki Kuroda, Wataru Teramoto (Kumamoto Univ.) HIP2023-107 |
This study investigated the multimodal integration in audio-visual motion perception among both young and older adults. ... [more] | HIP2023-107 pp.70-73 |
|
| EMM | 2023-03-03 09:10 |
Nagasaki | Fukue culture hall (Primary: On-site, Secondary: Online) |
Study on Analysis of Amplitude and Frequency Perturbation in the Voice for Fake Audio Detection Kai Li, Yao Wang, Minh Le Nguyen, Masato Akagi, Masashi Unoki (JAIST) EMM2022-88 |
Fake audio detection (FAD) aims to detect fake speech generated by advanced voice conversion and text-to-speech technolo... [more] | EMM2022-88 pp.110-115 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 15:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Self-Supervised Learning With Spatial Audio-Visual Recording for Sound Event Localization and Detection Yoto Fujita (Kyoto Univ.), Yoshiaki Bando (AIST), Keisuke Imoto (Doshisha Univ./AIST), Masaki Onihsi (AIST), Yoshii Kazuyoshi (Kyoto Univ.) EA2022-89 SIP2022-133 SP2022-53 |
This paper describes an unsupervised pre-training method for sound event localization and detection (SELD) on multi-chan... [more] | EA2022-89 SIP2022-133 SP2022-53 pp.78-82 |
| EMM | 2023-01-26 13:35 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Audio zero-watermarking method based on auditory spectral representation Atsuki Ichikawa, Masashi Unoki (JAIST) EMM2022-65 |
Audio zero-watermark technique creates a detection key from watermark and binary pattern generated from features of the ... [more] | EMM2022-65 pp.20-25 |
| IBISML | 2022-12-23 11:10 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Enhancement of Audio Signals Using Learning from Positive and Unlabelled Data Nobutaka Ito, Masashi Sugiyama (UTokyo) IBISML2022-56 |
Audio signal enhancement (SE) is the task of extracting a desired class of sounds (a “signal”) from an observed sound mi... [more] | IBISML2022-56 pp.94-100 |
| EA, ASJ-H | 2022-08-04 15:15 |
Miyagi | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Audio Source Separation Combining Wavelet Transform and Deep Neural Network Tomohiko Nakamura (Univ. Tokyo) EA2022-32 |
Audio source separation is a technique of separating an observed audio signal into individual source signals. The use of... [more] | EA2022-32 p.25 |
| EA | 2022-05-13 10:30 |
Online | Online | An Experimental Study on Electrical Noise Caused by Mechanical Vibration of Audio Equipment
-- An Effect of Vibration on an Amplifier -- Masahide Kita, Kiminobu Nishimura (Kindai Univ.) EA2022-1 |
In previous study, we could find out audio insulator has the effect of reducing vibration of audio equipment. But it is ... [more] | EA2022-1 pp.1-6 |
| EA | 2022-05-13 16:50 |
Online | Online | Basic study for permutation solver based on deep neural networks Fumiya Hasuike, Rui Watanabe, Daichi Kitamura (NIT, Kagawa) EA2022-13 |
This paper focuses on a permutation problem associated with frequency-domain independent component analysis (FDICA) that... [more] | EA2022-13 pp.62-67 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 09:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Amplitude modulation on high frequency noise induced by non-stationary audio system and its effect in audible range Masahide Kita, Shinichi Miyamoto, Yukiyasu Okamura, Kiminobu Nishimura (Kindai Univ.) EA2021-66 SIP2021-93 SP2021-51 |
In a linear-stationary audio, as frequency components of signal are independent each other, an effect of noise in supers... [more] | EA2021-66 SIP2021-93 SP2021-51 pp.15-20 |
| EMM, EA, ASJ-H | 2021-11-15 09:00 |
Online | Online | [Poster Presentation]
Speech Manipulation Detection Method Using Audio Watermarking
-- Frame Synchronization Method -- Kota Muroi, Kazuhiro Kondo (Yamagata Univ.) EA2021-33 EMM2021-60 |
The tampering detection method using digital watermarking in interrogation audio has a problem that many false positives... [more] | EA2021-33 EMM2021-60 pp.37-42 |
| EMM, EA, ASJ-H | 2021-11-15 13:30 |
Online | Online | [Poster Presentation]
Playback Sound Degradation of Digital Audio Equipment Caused by High Frequency Electromagnetic Noise Applied via USB Yuki Matsuo, Takahiro Yoshida (Tokyo Univ. of Science) EA2021-41 EMM2021-68 |
In recent years, PC (personal computer) audio has become popular and the sound quality of digital audio equipment has be... [more] | EA2021-41 EMM2021-68 pp.80-84 |
| SP, IPSJ-SLP, IPSJ-MUS | 2021-06-18 15:00 |
Online | Online | A Beginner's Introduction to Sound Programming for Digital Stomp Boxes Naofumi Aoki (Hokkaido Univ.) SP2021-3 |
This study has developed a platform for programmable digital stomp boxes. This paper introduces the overview of our prod... [more] | SP2021-3 pp.13-18 |
| CAS, ICTSSL | 2021-01-29 15:45 |
Online | Online | Reproduction of Japanese drumming rhythm by Deep Neural Network(DNN) Kazumi Okamoto, Hiroshi Tamura (Chuo Univ.) CAS2020-69 ICTSSL2020-54 |
Recently, artificial intelligence has been applied to music, such as automatic music generation. In this paper, we propo... [more] | CAS2020-69 ICTSSL2020-54 pp.158-161 |
| EA | 2020-12-14 09:40 |
Online | Online | Sound source separation method for use in live concerts Ryotaro Yamada, Kota Takahashi (UEC) EA2020-47 |
In live concerts, musical instrument sounds are mixed at vocal microphone, which makes it difficult to mix properly. To ... [more] | EA2020-47 pp.7-12 |
| SIP | 2020-08-28 10:30 |
Online | Online | Improvement Convergence Rate of the Sign Algorithm by Natural Gradient Method Taiyo Mineo, Hayaru Shouno (UEC) SIP2020-34 |
In lossless audio compression, it is essential to predictive residuals to be sparse, since we apply entropy codings to r... [more] | SIP2020-34 pp.19-24 |
| ITS, IEE-ITS | 2020-03-10 09:50 |
Shiga | Ritsumeikan Univ. (BKC) (Cancelled but technical report was issued) |
Study of head-mounted walking support method using Auditory and Visual Information Feedback Harazono Seiji (ATR/OPUCT), Akira Utsumi (ATR), Masanari Kubota (OPUCT) ITS2019-57 |
In this study, we investigate a walking support system to reduce cognitive workload associated with attention task durin... [more] | ITS2019-57 pp.1-5 |
| SIS | 2020-03-06 12:30 |
Saitama | Saitama Hall (Cancelled but technical report was issued) |
A method of audio signal processing for adding healing effect to music Yuga Yamada, Kaoru Arakawa (Meiji.Univ.) SIS2019-56 |
Healing music is a general term of music that can relax people by listening. Some healing music on the market is produce... [more] | SIS2019-56 pp.107-111 |
| EMM | 2020-01-27 13:00 |
Miyagi | Tohoku Univ. | Suppression of Dialog System Speech by Embedding Marker Signal into High Frequency Band Shunsuke Saga, Akinori Ito (Tohoku Univ.) EMM2019-94 |
Spoken dialog systems have become popular and are used in a home environment, such as smart speakers. A problem will occ... [more] | EMM2019-94 pp.1-6 |
| EA, EMM | 2019-11-22 15:30 |
Ishikawa | Kanazawa Institute of Technology | [Poster Presentation]
Subjective evaluation of upmix method based on separation of object and field sounds , , EA2019-59 EMM2019-87 |
It is considered that the sense of reality of sound is improved by upmixing a multichannel audio signal such that the si... [more] | EA2019-59 EMM2019-87 pp.35-40 |
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