| 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-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Speech Emotion Recognition based on Emotional Label Sequence Estimation Considering Phoneme Class Attribute Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.)  SP2023-9 |
Recently, many researchers have tackled speech emotion recognition (SER), which predicts emotion conveyed by speech. In ... [more] | SP2023-9 pp.42-47 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Generation of colored subtitle images based on emotional information of speech utterances Fumiya Nakamura (Kobe Univ.), Ryo Aihara (Mitsubishi Electric), Ryoichi Takashima, Tetsuya Takiguchi (Kobe Univ.), Yusuke Itani (Mitsubishi Electric) SP2023-11 |
Conventional automatic subtitle generation systems based on speech recognition do not take into account paralinguistic i... [more] | SP2023-11 pp.54-59 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-24 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Evaluation of multi-speaker text-to-speech synthesis using a corpus for speech recognition with x-vectors for various speech styles Koki Hida (Wakayama Univ/NICT), Takuma Okamoto (NICT), Ryuichi Nisimura (Wakayama Univ), Yamato Ohtani (NICT), Tomoki Toda (Nagoya Univ/NICT), Hisashi Kawai (NICT) SP2023-25 |
We have implemented multi-speaker end-to-end text-to-speech synthesis based on JETS using x-vectors as speaker embedding... [more] | SP2023-25 pp.125-130 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2021-12-02 15:20 |
Online | Online | improvement of multilingual speech emotion recognition by normalizing features using CRNN Jinhai Qi, Motoyuki Suzuki (OIT) NLC2021-22 SP2021-43 |
In this research, a new multilingual emotion recognition method by normalizing features using CRNN has been proposed. We... [more] | NLC2021-22 SP2021-43 pp.22-26 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2020-12-02 13:50 |
Online | Online | Multi-Modal Emotion Recognition by Integrating of Acoustic and Linguistic Features Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) NLC2020-14 SP2020-17 |
In recent years, the advanced techique of deep learning has improved the performance of Speech Emotional Recognition as ... [more] | NLC2020-14 SP2020-17 pp.7-12 |
| HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima | Hiroshima-ken Joho Plaza (Hiroshima) | Crosslingual Emotion Recognition using English and Japanese Speech Data Yuta Nirasawa, Atom Scotto, Ryota Sakuma, Yuki Hujita, Keiich Zempo (Tsukuba Univ.) |
Since reasearch in Speech Emotion Recognition(SER) is performed with mostly English data, applying these models to Japan... [more] | |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 16:25 |
Tokyo | NHK Science & Technology Research Labs. | An evaluation of representation learning using phoneme posteriorgrams and data augmentation in speech emotion recognition Shintaro Okada (Nagoya Univ.), Atsushi Ando (Nagoya Univ./NTT), Tomoki Toda (Nagoya Univ.) SP2019-43 |
This paper presents a new speech emotion recognition method based on representation learning and data augmentation. To ... [more] |
SP2019-43 pp.91-96 |
| AI | 2018-12-07 15:55 |
Fukuoka | Toyoaki Kuwahara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2018-30 |
The emotion estimation by speech makes it possible to estimate with higher precision with the development of deep learni... [more] | AI2018-30 pp.25-29 |
|
| SP, IPSJ-SLP (Joint) |
2017-07-27 14:30 |
Miyagi | Akiu Resort Hotel Crescent | [Invited Talk]
Synthesis, Recognition and Conversion of Various Speech Using Deep Learning and Their Applications Takashi Nose (Tohoku Univ.) SP2017-16 |
This paper focuses on synthesis, recognition and conversion of various speech in the speech processing using deep learni... [more] | SP2017-16 pp.3-8 |
| SP | 2015-10-15 17:10 |
Hyogo | Kobe Univ. | Design and evaluation of prosodically balanced emotion-dependent sentence set based on entropy Emika Takeishi, Takashi Nose, Taketo Kase, Akinori Ito (Tohoku Univ.) SP2015-65 |
We designed an emotional speech database that can be used for emition recognition as well as recognition and synthsis of... [more] | SP2015-65 pp.33-38 |
| NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD (Joint) [detail] |
2014-12-15 09:30 |
Kanagawa | Tokyo Institute of Technology (Suzukakedai Campus) | Recognition and Analysis of Emotion in Indonesian Conversational Speech Nurul Lubis, Sakriani Sakti, Graham Neubig, Tomoki Toda (NAIST), Dessi Lestari, Ayu Purwarianti (ITB), Satoshi Nakamura (NAIST) SP2014-106 |
The importance of incorporating emotional aspect in human computer interaction continues to arise. Unfortunately, explor... [more] | SP2014-106 pp.1-6 |
| NLC | 2014-06-14 14:45 |
Fukuoka | Kyushu Institute of Technology | Automatically-Generated Dictionary-based Emotion Recognition from Tweet Speech Eri Yanase, Hiromitsu Nishizaki, Yoshihiro Sekiguchi (Univ. of Yamanashi) NLC2014-4 |
We make a study of utilization of linguistic information for classification of emotion in spoken utterances. In Japanese... [more] | NLC2014-4 pp.17-22 |
| SP | 2014-02-28 12:40 |
Tokushima | The University of Tokushima | [Poster Presentation]
Evaluation of the generation of text balloon using the acoustic features Sho Matsumiya, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura (NAIST) SP2013-115 |
Expansion of technology to automatically generate subtitles has advanced due to development of speech recognition techno... [more] | SP2013-115 pp.29-30 |
| SP | 2013-03-01 11:00 |
Aichi | Daido University | Automatic Speech Emotion Recognition Based on Dimensional Approach Reda Elbarougy, Masato Akagi (JAIST) SP2012-127 |
This paper proposes a three-layer model for estimating the expressed emotions in a speech signal based on a dimensional ... [more] | SP2012-127 pp.41-46 |
| HCGSYMPO (2nd) |
2012-12-10 - 2012-12-12 |
Kumamoto | Kumamoto-Shintoshin-plaza | Impression Classification Using Speech Segments in the Utterance Masahiro Uchida, Takahiro Shinozaki, Yasuo Horiuchi, Shingo Kuroiwa (Chiba Univ.) |
Impression that a speaker gives to a receiver plays an important role in human speech conversation. However, the... [more] | |
| SP | 2012-06-14 13:30 |
Kanagawa | NTT Atsugi R&D Center | Comparison of Methods for Emotion Dimensions Estimation in Speech Using a Three-Layered Model Reda Elbarougy, Masato Akagi (JAIST) SP2012-36 |
This paper proposes a three-layer model for estimating the expressed emotions in a speech signal based on a dimensional... [more] |
SP2012-36 pp.19-24 |
| SP, NLC | 2008-12-09 14:10 |
Tokyo | Waseda Univ. | Acoustic Model Training Technique for Speech Recognition using Style Estimation with Multiple-Regression HMM Yusuke Ijima, Makoto Tachibana, Takashi Nose, Takao Kobayashi (Tokyo Tech) NLC2008-30 SP2008-85 |
We propose a technique for emotional speech recognition based on multiple-regression HMM (MRHMM). To achieve emotional s... [more] | NLC2008-30 SP2008-85 pp.37-42 |
| SP, NLC | 2008-12-10 16:10 |
Tokyo | Waseda Univ. | Driver's irritation detection using speech recognition results Lucas Malta, Chiyomi Miyajima, Akira Ozaki, Norihide Kitaoka, Kazuya Takeda (Nagoya Univ.) NLC2008-65 SP2008-120 |
In this work we present our efforts towards the multi-modal estimation of a driver's affective state under naturalistic ... [more] | NLC2008-65 SP2008-120 pp.245-248 |
| SP | 2008-07-17 - 2008-07-19 |
Iwate | Iwate Prefectural Univ. | An On-line Acoustic Model Adaptation Technique Based on Style Estimation Yusuke Ijima, Makoto Tachibana, Takashi Nose, Takao Kobayashi (Tokyo Tech) SP2008-48 |
We propose a model adaptation technique for emotional speech recognition based on multiple-regression HMM(MR-HMM). We us... [more] | SP2008-48 pp.31-36 |
[Return to Top Page]