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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) |
[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, SIP, EA | 2017-03-02 09:00 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
Statistical Voice Conversion Including Duration for Dytharthric Speech Ryo Aihara, Tetsuya Takigichi, Yasuo Ariki (Kobe Univ.) EA2016-137 SIP2016-192 SP2016-132 |
[more] | EA2016-137 SIP2016-192 SP2016-132 pp.307-312 |
| SP | 2016-08-25 12:45 |
Kyoto | ACCMS, Kyoto Univ. | Parallel Dictionary Learning for Voice Conversion Using Discriminative Graph-embedded Non-negative Matrix Factorization Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2016-38 |
[more] | SP2016-38 pp.59-64 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2015-12-02 10:50 |
Aichi | Nagoya Inst of Tech. | Parallel Dictionary Learning for Voice Conversion Using Alternating Direction Method of Multipliers Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2015-72 |
(Advance abstract in Japanese is available) [more] | SP2015-72 pp.13-18 |
| SP | 2015-10-15 13:00 |
Hyogo | Kobe Univ. | Exemplar-based voice conversion for arbitrary speakers Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2015-59 |
[more] | SP2015-59 pp.1-6 |
| NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD (Joint) [detail] |
2014-12-16 11:00 |
Kanagawa | Tokyo Institute of Technology (Suzukakedai Campus) | Many-to-one Voice Conversion using Multiple Non-negative Matrix Factorization Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2014-114 |
Voice conversion (VC) is being widely researched in the field of speech processing because of increased interest in usin... [more] | SP2014-114 pp.75-80 |
| NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD (Joint) [detail] |
2014-12-16 11:00 |
Kanagawa | Tokyo Institute of Technology (Suzukakedai Campus) | Multimodal Voice Conversion using Weighted Features in Noisy Environments Kenta Masaka, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2014-116 |
Voice conversion is a technique for converting specific information in speech while maintaining the other information, s... [more] | SP2014-116 pp.87-92 |
| SP, WIT, ASJ-H | 2014-06-19 16:50 |
Ishikawa | Individuality-preserving Voice Conversion for Articulation Disorders Using Sparse Dictionary Learning Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2014-53 WIT2014-8 |
[more] | SP2014-53 WIT2014-8 pp.39-44 |
|
| 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 |
|
| SP, IPSJ-SLP | 2013-12-19 16:50 |
Tokyo | Voice Conversion based on Non-negative Matrix Factorization with Segment Features in Noisy Environments Takao Fujii, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ) SP2013-87 |
This paper presents a voice conversion based on NMF for noisy environments. We prepared parallel exemplars that consist... [more] |
SP2013-87 pp.77-82 |
|
| SP, IPSJ-SLP | 2012-12-21 15:25 |
Tokyo | TITECH(Ookayama) | Sparse Coding-Based Voice Conversion from Lip Information Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2012-95 |
A technology to recognize speech content from lip motion is called visual speech recognition (VSR). VSRis an important c... [more] | SP2012-95 pp.119-124 |
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