Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IA |
2023-09-21 14:40 |
Hokkaido |
Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
Extracting context from external events using auxiliary information from network traffic data Eilaf M.A Babai, Koji Okamura (Kyushu Univ.) IA2023-13 |
Network traffic flow data is the main source of information about the network status, and it is constantly monitored to ... [more] |
IA2023-13 pp.11-18 |
PRMU, IPSJ-CVIM |
2022-03-11 10:15 |
Online |
Online |
Context free grammar with tree structure analysis for online handwritten mathematical expression recognition Naruki Kitashima, Cuong Tuan Nguyen, Ikuko Shimizu, Masaki Nakagawa (TUAT) PRMU2021-76 |
In mathematics exams, descriptive questions are effective for measuring the comprehension of examinees, but marking hand... [more] |
PRMU2021-76 pp.103-108 |
HPB (2nd) |
2021-03-03 |
Online |
Online |
An evaluation on incremental addition of new portable device storing positions under realistic usage scenarios Mitsuaki Saito, Kaori Fujinami (TUAT) |
With the spread of portable devices in recent years, work is being actively conducted to recognize the position of the d... [more] |
|
EA, SP, SIP |
2016-03-29 09:00 |
Oita |
Beppu International Convention Center B-ConPlaza |
[Poster Presentation]
An experimental study of designing context labels for infant-directed storytelling speech synthesis Kyota Hyakutake, Daisuke Saito, Nobuaki Minematsu (UTokyo) EA2015-112 SIP2015-161 SP2015-140 |
Context labels for infant-directed storytelling speech synthesis are investigated. After collecting one-hour storytellin... [more] |
EA2015-112 SIP2015-161 SP2015-140 pp.255-260 |
SP |
2015-10-15 16:45 |
Hyogo |
Kobe Univ. |
A study on quick model training in HMM-based speech synthesis Shuhei Yamada, Takashi Nose, Akinori Ito (Tohoku Univ.) SP2015-64 |
In this paper, we propose an alternative model training technique using speaker-independent monophone models and decisio... [more] |
SP2015-64 pp.27-32 |
SP, IPSJ-MUS |
2014-05-25 11:30 |
Tokyo |
|
Text-to-speech prosody synthesis based on probabilistic model for F0 contour Kento Kadowaki, Tatsuma Ishihara, Nobukatsu Hojo (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) SP2014-28 |
This paper deals with the problem of generating the fundamental frequency (F0) contour of speech from a text input for t... [more] |
SP2014-28 pp.309-314 |
SC |
2014-01-10 17:05 |
Tokyo |
NII |
Context Aware Web Service Similarity and Visualization Banage T. G. S. Kumara, Incheon Paik, Hiroki Ohashi, Yuichi Yaguchi (Univ. of Aizu) SC2013-18 |
Web service similarity calculation is a major challenge in service computing research. There are several methods used in... [more] |
SC2013-18 pp.31-36 |
SP, IPSJ-SLP |
2013-12-20 17:05 |
Tokyo |
|
Application of HMM-Based Speech Synthesis Techniques to a Singing Style Synthesis Job Plugin Makoto Tachibana, Keijiro Saino, Yuji Hisaminato (Yamaha Corp) SP2013-94 |
Recent HMM-based speech synthesis systems have the capability to control speaker/style characteristics by statistically ... [more] |
SP2013-94 pp.123-128 |
SP |
2012-11-08 14:45 |
Miyagi |
Ichibancho Lobby, Tohoku Institute of Technology |
Improvements of HMM-based speech synthesis using rich context models Shinnosuke Takamichi, Tomoki Toda (NAIST), Yoshinori Shiga (NICT), Sakriani Sakti, Graham Neubig, Satoshi Nakamura (NAIST) SP2012-78 |
In the traditional HMM-based speech synthesis, generated speech parameters tend to be excessively smoothed.
To allevia... [more] |
SP2012-78 pp.37-42 |
SP |
2012-11-08 16:00 |
Miyagi |
Ichibancho Lobby, Tohoku Institute of Technology |
Prosody Generation based on HMM using Tow-stage Clustering Yasuyuki Mitsui, Reishi Kondo, Masanori Kato (NEC) SP2012-80 |
HMM-based speech synthesis can generate highly natural prosody, but there is a problem that the pitch patterns represent... [more] |
SP2012-80 pp.49-54 |
NS, IN (Joint) |
2012-03-09 15:20 |
Miyazaki |
Miyazaki Seagia |
Object Data Configuration and Performance Evaluation in User Context Based Menu Recommendation Service. Yousuke Tsuda, Maho Sakuma, Toshihiro Nishizono (Nihon Univ) NS2011-274 |
This paper presents implementation and evaluation of a menu recommendation system using high dimensional user context de... [more] |
NS2011-274 pp.541-546 |
EA, SIP, SP |
2011-05-13 13:00 |
Osaka |
Ritsumeikan Univ. |
Performance evaluation of contexts for conversational speech synthesis using Corpus of Spontaneous Japanese Tomoki Koriyama, Takashi Nose, Takao Kobayashi (Tokyo Tech) EA2011-27 SIP2011-27 SP2011-27 |
This paper proposes an extended context set for generating the prosodic variability of spontaneous speech in HMM-based c... [more] |
EA2011-27 SIP2011-27 SP2011-27 pp.155-160 |
PRMU |
2011-03-10 11:10 |
Ibaraki |
|
Simultaneous Optimization of Context Clustering and GMM for Offline Handwritten Word Recognition Using HMM Tomoyuki Hamamura (Toshiba/Univ. of Tokyo), Bunpei Irie (Toshiba), Takuya Nishimoto, Nobutaka Ono, Shigeki Sagayama (Univ. of Tokyo) PRMU2010-244 |
Context-dependent HMM is commonly used in speech recognition. The model can be realized by two ways: context clustering ... [more] |
PRMU2010-244 pp.43-48 |
IN, NS (Joint) |
2011-03-04 08:30 |
Okinawa |
Okinawa Convention Center |
Evaluation of Privacy Preservation Recommendation Based on Bayesian Networks Shogo Hachiya, Toshihiro Nishizono (Nihon Univ.) NS2010-242 |
This paper proposes a method for constructing privacy-preserving recommendation models for content-based filtering. Afte... [more] |
NS2010-242 pp.439-444 |
SP, NLC |
2008-12-10 09:55 |
Tokyo |
Waseda Univ. |
Bayesian Context Clustering Using Cross Validation for HMM-Based Speech Synthesis Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Institute of Technology) NLC2008-36 SP2008-91 |
This paper proposes a prior distribution determination technique using cross validation for HMM-based speech synthesis b... [more] |
NLC2008-36 SP2008-91 pp.73-78 |
SP, NLC |
2008-12-10 16:10 |
Tokyo |
Waseda Univ. |
Tying covariance parameters for HMM-based speech synthesis Keiichiro Oura, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Inusitute of Technology) NLC2008-60 SP2008-115 |
In this paper, we proposed a tying covariance technique in hidden Markov model (HMM) basedspeech
synthesis system. In r... [more] |
NLC2008-60 SP2008-115 pp.215-220 |
SP, NLC |
2008-12-10 16:10 |
Tokyo |
Waseda Univ. |
Speech Recognition Based on Statistical Models Including Multiple Decision Trees Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Institute of Technology) NLC2008-61 SP2008-116 |
This paper proposes a speech recoginition technique using multiple decision trees. In the use of context dependent model... [more] |
NLC2008-61 SP2008-116 pp.221-226 |
SP |
|
Toyama |
Toyama Prefectural University |
Acoustic Modeling Based on Model Structure Annealing for Speech Recognition Sayaka Shiota, Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nitech) SP2007-35 |
This paper proposes a joint optimization technique of phonetic decision trees and state sequences for HMM-based speech r... [more] |
SP2007-35 pp.67-72 |