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Technical Committee on Speech (SP) (Searched in: 2015)
Search Results: Keywords 'from:2015-10-15 to:2015-10-15'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| 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 |
| SP | 2015-10-15 13:50 |
Hyogo | Kobe Univ. | A Study on Speaker-Independent Voice Conversion Using Spectral Differential Filter Based on Neural Network Harunori Koike, Takashi Nose (Tohoku Univ.), Takahiro Shinozaki (Tokyo Tech), Akinori Ito (Tohoku Univ.) SP2015-61 |
In this paper, we propose a novel technique for making the speech individuality of an arbitrary source (input) speaker. ... [more] | SP2015-61 pp.13-18 |
| SP | 2015-10-15 14:35 |
Hyogo | Kobe Univ. | [Invited Talk]
Brain Machine Interface and its application Yasuharu Koike (Titech) SP2015-62 |
[more] | SP2015-62 pp.19-20 |
| SP | 2015-10-15 15:35 |
Hyogo | Kobe Univ. | [Invited Talk]
Machine Learning Methods for Assistive Robots Control Jun Morimoto (ATR) SP2015-63 |
[more] | SP2015-63 pp.21-26 |
| 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 | 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 |
| SP | 2015-10-16 10:00 |
Hyogo | Kobe Univ. | Evaluation of Parallel POMDP based on State Space Partition and State Transition Learning Yoji Yamada, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2015-66 |
Significant problems with Partially Observable Markov Decision Process (POMDP) lie in a large number of states, causing ... [more] | SP2015-66 pp.39-43 |
| SP | 2015-10-16 10:25 |
Hyogo | Kobe Univ. | Automated Commucation Training System with Multimodal information Hiroki Tanaka, Sakti Sakriani, Neubig Graham (NAIST), Hideki Negoro, Hidemi Iwasaka (Nara University of Education), Satoshi Nakamura (NAIST) SP2015-67 |
[more] | SP2015-67 pp.45-50 |
| SP | 2015-10-16 10:50 |
Hyogo | Kobe Univ. | Switch-To-Speech Communication Aid System Using WFST and Low Latency Search Algorithm Fuming Fang, Takahiro Shinozaki (Tokyo Tech) SP2015-68 |
To establish a communication method for the patients who have lost nearly all of their voluntary movement including spe... [more] |
SP2015-68 pp.51-56 |
| SP | 2015-10-16 11:15 |
Hyogo | Kobe Univ. | Multi-modal speech recognition using deep bottleneck features Satoshi Tamura (Gifu Univ), Hiroshi Ninomiya (Nagoya Univ), Norihide Kitaoka (Tokushima Univ), Shin Osuga (Aisin Seiki), Yurie Iribe (Aichi Prefectural Univ), Kazuya Takeda (Nagoya Univ), Satoru Hayamizu (Gifu Univ) SP2015-69 |
In this paper, we propose a novel multi-modal speech recognition method which uses speech and lip images, employing Deep... [more] | SP2015-69 pp.57-62 |
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