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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA, SP, SIP | 2016-03-29 10:45 |
Oita | Beppu International Convention Center B-ConPlaza | Tensor-based Speech Representation and its Application to Identification of Languages and Speakers So Suzuki, Daisuke Saito, Nobuaki Minematsu (UTokyo)  EA2015-127 SIP2015-176 SP2015-155 |
This paper proposes a novel approach to speech representation for automatic identification of languages and speakers by ... [more] | EA2015-127 SIP2015-176 SP2015-155 pp.341-346 |
| VLD | 2016-03-02 13:00 |
Okinawa | Okinawa Seinen Kaikan | An Algorithm for Reducing Components of a Gaussian Mixture Model 1
-- A Partitioning Method of Components -- Naoya Yokoyama, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.) VLD2015-138 |
In statistical methods, such as statistical static timing analysis (S-STA), Gaussian mixture model (GMM) is a useful too... [more] | VLD2015-138 pp.155-160 |
| VLD | 2016-03-02 13:25 |
Okinawa | Okinawa Seinen Kaikan | An Algorithm for Reducing Components of a Gaussian Mixture Model 2
-- A Method for Calculating Sensitivities -- Daiki Azuma, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.), Takashi Kambe (Kinki Univ.) VLD2015-139 |
In statistical methods, such as statistical static timing analysis (S-STA), Gaussian mixture model (GMM) is a useful too... [more] | VLD2015-139 pp.161-166 |
| EMM | 2016-01-18 17:00 |
Miyagi | Katahira Campus, Tohoku University | On Voice Quality Transformations for the English Pronunciation Software Aimed at Effective Presentations Yuki Nakahira, Tetsuya Kojima, Tomoko Hori, Sadanobu Yoshimoto (NIT, Tokyo College), Kouichi Suzuki (Kouichi Suzuki's Office) EMM2015-68 |
A computer software to learn English pronunciation aimed at effective presentations in English has been proposed. One of... [more] | EMM2015-68 pp.43-48 |
| IE, CS, IPSJ-AVM, ITE-BCT [detail] | 2015-12-04 10:35 |
Hyogo | Multiple Temporal Resolution Imaging for High Quality - High Dynamic Range Video Reconstruction Hidenori Tabata, Takayuki Hamamoto (TUS) CS2015-70 IE2015-95 |
In this paper, we propose a multiple temporal resolution imaging for high quality-high dynamic rage (HDR) video reconstr... [more] | CS2015-70 IE2015-95 pp.93-97 |
|
| SP | 2015-10-15 13:25 |
Hyogo | Kobe Univ. | Statistical singing voice conversion based on direct waveform modification and its parameter generation algorithms Kazuhiro Kobayashi, Tomoki Toda, Satoshi Nakamura (NAIST) SP2015-60 |
This report presents a novel statistical singing voice conversion (SVC) technique with direct waveform modification base... [more] | SP2015-60 pp.7-12 |
| RCC, ASN, RCS, NS, SR (Joint) |
2015-07-30 10:30 |
Nagano | JA Naganoken Bldg. | [Poster Presentation]
Parameter Control Method for Physical Wireless Parameter Conversion Sensor Networks based on Estimated Mixture Distribution Taiki Nakayama, Takeo Fujii (UEC), Osamu Takyu (Shinshu Univ.), Mai Ohta (Fukuoka Univ.) RCC2015-33 NS2015-53 RCS2015-116 SR2015-34 ASN2015-43 |
We have proposed a physical wireless parameter conversion method for Wireless Sensor Networks (WSNs). In this method, ea... [more] | RCC2015-33 NS2015-53 RCS2015-116 SR2015-34 ASN2015-43 pp.91-96(RCC), pp.95-100(NS), pp.93-98(RCS), pp.109-114(SR), pp.131-136(ASN) |
| CPSY, IPSJ-EMB, IPSJ-SLDM, DC [detail] | 2015-03-06 16:40 |
Kagoshima | An Algorithm to Reduce Components of a Gaussian Mixture Model Considering Distribution Shape of Each Component Naoya Yokoyama, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.) CPSY2014-170 DC2014-96 |
In statistical methods, such as statistical static timing analysis (S-STA) algorithm, summation and minimum or maximum o... [more] | CPSY2014-170 DC2014-96 pp.49-54 |
|
| MI | 2015-03-03 13:40 |
Okinawa | Hotel Miyahira | Target Extraction from X-ray Image Sequence by using Gaussian Mixture Model for Lung Tumor Tracking Naoki Shibusawa, Kei Ichiji, Yusuke Yoshida, Xiaoyang Zhang, Noriyasu Homma (Tohoku Univ.), Yoshihiro Takai (Hirosaki Univ.), Makoto Yoshizawa (Tohoku Univ.) MI2014-110 |
During treatment fraction, accurate tracking of moving tumor by using X-ray imaging is important for radiation therapy. ... [more] |
MI2014-110 pp.277-282 |
| NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD (Joint) [detail] |
2014-12-16 11:00 |
Kanagawa | Tokyo Institute of Technology (Suzukakedai Campus) | Articulatory Controllable Speech Modification using Sequential Inversion and Production Mapping with Gaussian Mixture Models Patrick Lumban Tobing, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST), Ayu Purwarianti (ITB) SP2014-111 |
In this report, we propose an articulatory controllable speech modification framework using statistical inversion and pr... [more] | SP2014-111 pp.57-62 |
| SP | 2014-11-14 10:55 |
Fukuoka | Kyushu Univ. Chikushi Campus | Design of control parameters for voice quality control based on multiple-regression Gaussian mixture model Kazutaka Kubo, Kazuhiro Kobayashi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2014-101 |
This report presents a method for designing control parameters in statistical voice quality control. As a method for int... [more] | SP2014-101 pp.65-70 |
| COMP | 2014-10-08 13:30 |
Tokyo | Chuo University | [Invited Talk]
Statistical Maximum and Minimum Operations for Gaussian Mixture Model and Their Applications Shuji Tsukiyama (Chuo Univ.) COMP2014-28 |
Due to the progress of micro-technology, process variability is increasing in not only inter-die but also intra-die, and... [more] | COMP2014-28 pp.17-18 |
| MI | 2014-09-02 14:10 |
Tokyo | The Institute of Statistical Mathematics | Stacked Fisher Network for HEp-2 Staining Pattern Recognition Xian-Hua Han, Yen-Wei Chen (Ritsumeikan Univ.) MI2014-39 |
This study addresses the recognition problem of the HEp-2 cell using indirect immunofluorescent (IIF) image analysis, wh... [more] | MI2014-39 pp.21-26 |
| SP, IPSJ-MUS | 2014-05-25 11:30 |
Tokyo | Statistical bandwidth extension using sub-band basis spectrum model Yamato Ohtani, Masatsune Tamura, Masahiro Morita, Masami Akamine (Toshiba) SP2014-27 |
This paper describes a novel statistical bandwidth extension (BWE) method based on a Gaussian mixture model (GMM) and a ... [more] | SP2014-27 pp.303-308 |
|
| PRMU | 2014-03-13 16:00 |
Tokyo | Neighbor-to-Neighbor Search for Fast Image Classification Nakamasa Inoue, Koichi Shinoda (Tokyo Inst. of Tech.) PRMU2013-184 |
(To be available after the conference date) [more] | PRMU2013-184 pp.97-102 |
|
| CS, CAS, SIP | 2014-03-07 13:25 |
Osaka | Osaka City University Media Center | Parameter estimation for von Mises-Fisher mixture model via Gaussian distribution Suguru Yasutomi, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech) CAS2013-129 SIP2013-175 CS2013-142 |
Statistics that deals with direction, such as angles, phases and wind directions is directional statistics. In direction... [more] | CAS2013-129 SIP2013-175 CS2013-142 pp.227-232 |
| SP, IPSJ-SLP | 2013-12-20 10:45 |
Tokyo | [Invited Talk]
Acoustic Modeling Using Restricted Boltzmann Machines and Deep Belief Networks for Statistical Parametric Speech Synthesis and Voice Conversion Zhen-Hua Ling, Ling-Hui Chen, Li-Rong Dai (USTC) SP2013-90 |
This paper summarizes our previous work on spectral modeling using restricted Boltzmann machines (RBM) and deep belief n... [more] | SP2013-90 pp.103-108 |
|
| MBE, NC (Joint) |
2013-03-15 14:35 |
Tokyo | Tamagawa University | Signal separation of EEG using multivariate probabilistic model Yusuke Kurihana, Shigeki Miyabe, Tomasz M. Rutkowski, Yoshihiro Matsumoto, Takeshi Yamada, Shoji Makino (Univ. of Tsukuba) MBE2012-119 |
With independent component analysis (ICA), one promising source separation framework, it is difficult to separate desire... [more] | MBE2012-119 pp.161-166 |
| PRMU | 2013-02-22 14:00 |
Osaka | Video Semantic Indexing Using Video-Clip Scores and GMM Supervectors Nakamasa Inoue, Koichi Shinoda (Tokyo Inst. of Tech.) PRMU2012-168 |
We propose a video-semantic-indexing system using video-clip scores and Gaussian-mixture-model (GMM) supervectors. The g... [more] | PRMU2012-168 pp.173-178 |
|
| SP | 2013-01-30 15:15 |
Kyoto | Doshisha Univ. | Speaker Recognition Using Formant of Vowels Naoyuki Urakami, Yuta Shoji, Jun Shiraishi, Hironori Yamauchi, Yohei Fukumizu, Tomonori Izumi (Ritsumeikan Univ) SP2012-101 |
In this paper we propose a speaker recognition or verification methods based on formant of vowels. The proposed method i... [more] | SP2012-101 pp.19-24 |
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