Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online |
Online |
Emotional voice expansion modulates interpersonal communication Miho Kitamura (ideaLab.inc), Katsumi Watanabe (Waseda Univ.) |
In conversation, we express emotional meaning not only through semantics, but also through voice prosody. Prosody attri... [more] |
|
WIT, SP |
2019-10-26 16:20 |
Kagoshima |
Daiichi Institute of Technology |
Application of interactive and real-time tools to acoustic analysis for assessment of dysphonia Hideki Kawahara (Wakayama Univ.), Ken-Ichi Sakakibara (Health Science Univ. Hokkaido), Kenta Wakasa (ATLUS), Hiroko Terasawa (Univ. Tsukuba) SP2019-24 WIT2019-23 |
We introduce a real-time and interactive tool for visualizing voice-source attributes. The tool provides a simplified ca... [more] |
SP2019-24 WIT2019-23 pp.39-43 |
SP, SIP, EA |
2017-03-02 15:20 |
Okinawa |
Okinawa Industry Support Center |
Distance Distinction Using Variance of Phase Difference for Source Signals in Same Direction Tomoyasu Uchiyama, Arata Kawamura (Osaka Univ.), Youichi Fujisaka, Nobuhiko Hiruma (Rion Co.,Ltd.), Youji Iiguni (Osaka Univ.) EA2016-144 SIP2016-199 SP2016-139 |
Technique for sound sources separation from observed signals is required for auto transcription of a meeting or robot e... [more] |
EA2016-144 SIP2016-199 SP2016-139 pp.345-350 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2015-12-02 10:25 |
Aichi |
Nagoya Inst of Tech. |
Simultaneous Modelling of Acoustic, Phonetic, Speaker Features Using Improved Three-Way Restricted Boltzmann Machine Toru Nakashika (UEC), Tetsuya Takiguchi (Kobe Univ.) SP2015-71 |
In this paper, we argue the way of modelling speech signals using improved three-way restricted Boltzmann machine (3WRBM... [more] |
SP2015-71 pp.7-12 |
EA |
2014-12-12 15:40 |
Ishikawa |
Satellite Plaza of Kanazawa University |
[Poster Presentation]
Study on signal to noise ratio estimation based on optimal design of subband voice activity detection Shota Morita (JAIST), Xugang Lu (NICT), Masashi Unoki (JAIST) EA2014-46 |
Estimation of signal to noise ratio (SNR) of speech plays an important role of noise reduction and speech intelligibilit... [more] |
EA2014-46 pp.37-42 |
SP, IPSJ-MUS |
2014-05-25 11:30 |
Tokyo |
|
Analysis of the Relationship between Pitch and Formant Frequencies in Voice Register Transition Yasufumi Uezu, Takahiro Furukawa, Tokihiko Kaburagi (Kyushu Univ.) SP2014-26 |
When the voice pitch is raised gradually and the voice register changes from chest to falsetto, it is known that the mot... [more] |
SP2014-26 pp.297-302 |
NC, MBE (Joint) |
2014-03-17 10:40 |
Tokyo |
Tamagawa University |
Correlation between flicker value and voice signals to tiredness Ryota Inoue, Hiromu Kishi, Satoru Kishida (Tottori Univ) NC2013-116 |
We investigated the effect of tiredness produced by a Kraepelin test on voice signals with the neural network system for... [more] |
NC2013-116 pp.163-166 |
NC, MBE (Joint) |
2014-03-17 11:00 |
Tokyo |
Tamagawa University |
Correlation between voice signals and alcohol concentrations in blood Masayuki Kawanoi, Naoki Fujiwara, Satoru Kishida (Tottori Univ.) NC2013-117 |
We investigated the correlation between voice signals and alcohol concentrations in blood with neural network systems fo... [more] |
NC2013-117 pp.167-170 |
EMM |
2014-03-07 15:00 |
Ishikawa |
JAIST |
[Poster Presentation]
Study on scramble method for speech signal by using random bit shift of quantization Zhi Zhu, Katsuhiko Yamamoto, Masashi Unoki (JAIST), Naofumi Aoki (Hokkaido Univ.) EMM2013-109 |
Speech scrambling aims to eliminate the intelligibility of original speech in order to preventing eavesdropping and copy... [more] |
EMM2013-109 pp.57-62 |
HCS |
2014-03-04 16:20 |
Ishikawa |
Rurikoh (Yamashiro Hot Springs, Ishikawa) |
Gestural and Phonetic Analysis for Characteristics of Persuasive Speeches Yukiko Hirabayashi, Yoshinori Kitahara (Hitachi) HCS2013-112 |
We have investigated characteristics of nonverbal signals, especially prosody and face motion, of the persuasive speeche... [more] |
HCS2013-112 pp.45-49 |
SP |
2014-02-28 14:50 |
Tokushima |
The University of Tokushima |
[Invited Talk]
Nonverbal information in speech: Fundamentals and applications Hiroki Mori (Utsunomiya Univ.) SP2013-117 |
The most remarkable feature of spoken language is such information that cannot be transcribed into text. That is so-call... [more] |
SP2013-117 pp.37-42 |
SP, IPSJ-SLP |
2013-12-19 16:25 |
Tokyo |
|
Voice Conversion for Articulation Disorders Using Dictionary Selective Non-negative Matrix Factorization Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2013-86 |
We present in this paper a voice conversion (VC) method for a person with an articulation disorder resulting from atheto... [more] |
SP2013-86 pp.71-76 |
SIS |
2013-12-12 13:50 |
Tottori |
Torigin Bunka Kaikan (Tottori) |
Correlation between voice signals and alcohol concentrations in blood Masayuki Kawanoi, Naoki Fujiwara, Hiroki Yoshimura, Satoru Kishida (Tottori Univ.) SIS2013-37 |
We clarified the correlation between voice signals and alcohol concentrations in blood by using neural network systems f... [more] |
SIS2013-37 pp.59-62 |
EA |
2013-07-18 11:00 |
Hokkaido |
Health Sci. Univ. of Hokkaido |
Frequency-proportional dilation and compression in singing voice spectra and contributing factors Makoto Sakaguchi, Mayuko Kobayashi, Toshio Irino, Ryuichi Nisimura, Hideki Kawahara (Wakayama Univ.) EA2013-35 |
A new estimation method of relative vocal tract length was proposed based on short time Fourier analysis and demonstrate... [more] |
EA2013-35 pp.9-14 |
EA, SP, SIP |
2012-05-24 10:45 |
Osaka |
Osaka Univ. Nakanoshima Center |
Development of Robust Voice Activity Detection using Empirical Mode Decomposition and Modulation Spectrum Analysis Yasuaki Kanai, Masashi Unoki (JAIST) EA2012-1 SIP2012-1 SP2012-1 |
Voice activity detection (VAD) is used to detect speech/non—speech periods in observed signals. However, current V... [more] |
EA2012-1 SIP2012-1 SP2012-1 pp.1-6 |
EMM |
2011-11-15 10:00 |
Miyagi |
|
A Comparison of Side Information Expressions Incorporating Background Music Signals for Manipulating Mixed Music Sounds Yuto Sasaki (Tohoku Univ.), Seong-Jun Hahm (NTT), Akinori Ito (Tohoku Univ.) EMM2011-48 |
In this paper, we propose a method for manipulating vocal sound in mixed music signals using side information. In the pr... [more] |
EMM2011-48 pp.47-52 |
NC, MBE (Joint) |
2011-03-09 09:50 |
Tokyo |
Tamagawa University |
Construction of voiceprint identification systems using multi-step neural networks Shunsuke Onishi, Hiroshi Hasegawa, Kentaro Kinoshita, Satoru Kishida (Tottori Univ.) NC2010-186 |
We constructed a voiceprint identification system using three-layered neural networks with a back-propagation learning a... [more] |
NC2010-186 pp.349-353 |
SP, EA, SIP |
2010-05-26 13:25 |
Hyogo |
Konan Univ. (Hirao Seminar House) |
Online Speech Separation based on Spectral Subtraction for Meeting Speech Recognition Yu Nasu, Koichi Shinoda, Sadaoki Furui (Tokyo Inst. of Tech.) EA2010-2 SIP2010-2 SP2010-2 |
This paper proposes a speech separation method for meeting speech recognition, which operates in real time. The proposed... [more] |
EA2010-2 SIP2010-2 SP2010-2 pp.7-12 |
NC, MBE (Joint) |
2010-03-10 10:15 |
Tokyo |
Tamagawa University |
Effect of the number of input layer units on performance of voiceprint identification systems using layered neural networks Shunsuke Onishi, Hiroshi Hasegawa, Kentaro Kinoshita, Satoru Kishida (Tottori Univ.) NC2009-131 |
We constructed an individual identification system using three-layered neural networks with a back-propagation learning ... [more] |
NC2009-131 pp.255-259 |