| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 09:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
End-to-End Speech Synthesis Based on Articulatory Movements Captured by Real-time MRI Yuto Otani, Shun Sawada, Hidefumi Ohmura, Kouichi Katsurada (Tokyo Univ. Sci.)  EA2022-77 SIP2022-121 SP2022-41 |
We propose an end-to-end deep learning model for speech synthesis based on articulatory movements captured by real-time ... [more] | EA2022-77 SIP2022-121 SP2022-41 pp.13-18 |
| SP | 2020-01-28 15:50 |
Toyama | Measurement of momentum change in joint range using high-speed rtMRI movie Takuya Asai, Hideaki Kikuchi (Waseda University), Kikuo Maekawa (NINJAL) SP2019-44 |
In our project, a database of the real-time magnetic resonance images (rtMRI) is constructed from FY 2017. It is difficu... [more] | SP2019-44 pp.1-6 |
|
| SP | 2019-01-27 10:15 |
Ishikawa | Kanazawa-Harmonie | A study on End-to-End articulatory-to-speech conversion Fumiaki Taguchi, Tokihiko Kaburagi (Kyushu Univ.) SP2018-57 |
Methods of articulatory-to-speech conversion are beneficial for acquired speech-impaired people, providing a way of prod... [more] | SP2018-57 pp.23-28 |
| SP, ASJ-H | 2018-01-20 14:55 |
Tokyo | The University of Tokyo | [Poster Presentation]
A study on the articulatory-to-speech conversion by using deep learning Fumiaki Taguchi, Tokihiko Kaburagi (Kyushu Univ.) SP2017-70 |
In this study, we examined a method to convert the movement pattern of articulatory organs observed by a magnetic sensor... [more] | SP2017-70 pp.27-30 |
| SP | 2017-01-21 15:10 |
Tokyo | The University of Tokyo | A Study on the Construction of Articulatory to Acoustic Mapping by Using Deep Neural Network Fumiaki Taguchi, Tokihiko Kaburagi (Kyushu Univ.) SP2016-73 |
This paper presents a method for estimating time series of the acoustic property of the vocal tract expressed by line sp... [more] | SP2016-73 pp.53-57 |
| EA, SP, SIP | 2016-03-28 13:15 |
Oita | Beppu International Convention Center B-ConPlaza | [Poster Presentation]
An evaluation of acoustic-to-articulatory inversion mapping with latent trajectory Gaussian mixture model Patrick Lumban Tobing (NAIST), Tomoki Toda (Nagoya Univ./NAIST), Hirokazu Kameoka (NTT), Satoshi Nakamura (NAIST) EA2015-85 SIP2015-134 SP2015-113 |
In this report, we present an evaluation of acoustic-to-articulatory inversion mapping based on latent trajectory Gauss... [more] |
EA2015-85 SIP2015-134 SP2015-113 pp.111-116 |
| SP | 2016-01-14 13:00 |
Kanagawa | Sunpian Kawasaki | [Invited Talk]
Articulatory controllable statistical parametric speech synthesis using EMA data Junichi Yamagishi (NII/Univ. Edinburgh) SP2015-88 |
This paper describes speech processing work in which articulator movements are used in conjunction with the acoustic spe... [more] | SP2015-88 pp.19-24 |
| SP | 2012-06-14 15:30 |
Kanagawa | NTT Atsugi R&D Center | Personalization of the physiological articulatory model using MR image based deformation Nana Nishimura, Shin'ichi Kawamoto (JAIST), Jianwu Dang (JAIST/Tianjin Univ.) SP2012-38 |
A physiological articulatory model enables to investigate individual differences for any speaker in speech production by... [more] | SP2012-38 pp.27-32 |
| SP, NLC, IPSJ-SLP [detail] | 2011-12-19 15:45 |
Tokyo | Phoneme Recognition based on AF-HMMs with Optimal State Configuration Narpendyah W. Ariwardhani, Yurie Iribe, Kouichi Katsurada, Tsuneo Nitta (Toyohashi Univ. of Tech.) NLC2011-39 SP2011-84 |
Speeh recognition based on one-model of articulatory movement HMMs that are commonly applied to both speech recognition ... [more] | NLC2011-39 SP2011-84 pp.49-54 |
|
| SP | 2011-11-28 16:30 |
Fukuoka | Kyusyu University Chikushi Campus | A study on the control of vocal-tract area function by using articulatory data Sho Mouri, Tetsuro Takano, Tokihiko Kaburagi (Kyushu Univ.) SP2011-74 |
This paper presents a study on the synthesis of continuous speech based on a physical model of speech production.To cont... [more] | SP2011-74 pp.31-36 |
| SP | 2011-07-21 13:30 |
Hokkaido | Jozankei Grand Hotel | One-model Speech Recognition and Synthesis System Based on Articulatory Masashi Kimura, Takayuki Onoda, Yurie Iribe, Kouichi Katsurada, Tsuneo Nitta (Toyohashi Tech) SP2011-41 |
Speech recognition (SR) and speech synthesis (SS) based on one-model of articulatory movement HMMs that are commonly app... [more] | SP2011-41 pp.1-6 |
| SP | 2010-03-05 13:00 |
Tokyo | Shibaura Inst. of Tech. (Toyosu Campus) | [Invited Talk]
Verification of the motor theory of speech perception by articulatory measurement and functional brain imaging Sadao Hiroya (NTT Corp.) SP2009-162 |
``The motor theory of speech perception,'' which has been proposed by Liberman et al. in 1960's, assumes that the phonol... [more] | SP2009-162 pp.81-86 |
| SP | 2008-11-20 14:00 |
Gifu | Softopia Japan (Ogaki) | [Invited Talk]
Toward the Success of Multi-modal interaction technologies in Next-Generation HI Tsuneo Nitta (Toyohashi Univ.) SP2008-74 |
As speech I/O is comparatively new computer interface, it is required to coexist with preceding interface of GUI, that i... [more] | SP2008-74 pp.25-30 |
| SP | 2008-10-23 14:00 |
Kumamoto | Kumamoto Univ. | Speech synthesis based on a transmission line model
-- Development of an adjustment function for phoneme duration -- Mamio Hokazono, Kohichi Ogata (Kumamoto Univ.) SP2008-58 |
A speech synthesis system that simulates speech production process; generation of sound source, articulation and radiati... [more] | SP2008-58 pp.13-18 |
| SP | 2008-03-20 15:15 |
Tokyo | Univ. Tokyo | [Poster Presentation]
Investigation of usual and unusual articulation based on simulations and observations Akikazu Nishikido, Jianwu Dang (JAIST) SP2007-190 |
Inverse estimation of articulatory movement from speech signal faces a one-to-many problem. To reduce the one-to-many pr... [more] | SP2007-190 pp.23-28 |
[Return to Top Page]