| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
Technical Committee on Speech (SP) (Searched in: 2017)
Search Results: Keywords 'from:2018-01-20 to:2018-01-20'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP, ASJ-H | 2018-01-20 13:00 |
Tokyo | The University of Tokyo | An extended log domain pulse model for VOCODERs Hideki Kawahara (Wakayama Univ.)  SP2017-66 |
We propose a new procedure to design excitation source signals for the analysis-and-synthesis systems without preserving... [more] | SP2017-66 pp.1-4 |
| SP, ASJ-H | 2018-01-20 13:25 |
Tokyo | The University of Tokyo | A study on statistical speech synthesis based on GP-DNN hybrid model Tomoki Koriyama, Takao Kobayashi (Tokyo Tech) SP2017-67 |
We propose a novel approach to Gaussian process regression (GPR)-based speech synthesis in this paper. Since the conve... [more] |
SP2017-67 pp.5-10 |
| SP, ASJ-H | 2018-01-20 13:50 |
Tokyo | The University of Tokyo | DNN Based Voice Conversion Method Considering Outputs of Multiple Networks Takuya Fujioka, Sun Qinghua (Hitachi) SP2017-68 |
In many conventional statistical voice conversion methods, the relations of source and target speech on all frames are e... [more] | SP2017-68 pp.11-15 |
| SP, ASJ-H | 2018-01-20 14:15 |
Tokyo | The University of Tokyo | Searching for the Origin of Natural Language Processing
-- Automata, Telepathy Communication and Schizophrenia -- Makoto Koike (MK Microwave) SP2017-69 |
Herein I present the evidence to support the hypothesis that the microwave communication with the application of microwa... [more] | SP2017-69 pp.17-25 |
| 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, ASJ-H | 2018-01-20 14:55 |
Tokyo | The University of Tokyo | [Poster Presentation]
Automatic speech quality control of English listening materials and examination of Japanese learners’ listening ability in terms of robustness Zhang Haoyu, Inoue Yusuke, Saito Daisuke, Minematsu Nobuaki (UTokyo), Yamauchi Yutaka (TIU), Masuda Hinako (SeikeiU) SP2017-71 |
When a speaker speaks and a listener listens to that speaker, extra-linguistic and environmental factors often degrade t... [more] | SP2017-71 pp.31-34 |
| SP, ASJ-H | 2018-01-20 14:55 |
Tokyo | The University of Tokyo | [Poster Presentation]
Influence of frame shift in speech parameters on sound quality by high-quality speech analysis/synthesis system Genta Miyashita, Masanori Morise (Yamanashi Univ.) SP2017-72 |
Sound quality deterioration occurs when analyzing and synthesizing high--quality speech by using a vocoder. We conduct ... [more] |
SP2017-72 pp.35-38 |
| SP, ASJ-H | 2018-01-20 14:55 |
Tokyo | The University of Tokyo | [Poster Presentation]
Analysis of timbre changes caused by expressing fatigue speech Takuro Shono, Masanori Morise (Yamanashi Univ.) SP2017-73 |
To examine whether speech can be used as a biomarker for human fatigue, we recorded both usual speech and speech by act... [more] |
SP2017-73 pp.39-42 |
| SP, ASJ-H | 2018-01-20 14:55 |
Tokyo | The University of Tokyo | [Poster Presentation]
TRAJECTORY TRAINING CONSIDERING POWER FOR SPEECH SYNTHESIS BASED ON NEURAL NETWORKS Ryohei Funato, Kei Hashimoto, keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2017-74 |
In statistical parametric speech synthesis, a relation between acoustic features and linguistic features is modeled by s... [more] | SP2017-74 pp.43-48 |
| SP, ASJ-H | 2018-01-21 09:30 |
Tokyo | The University of Tokyo | [Invited Talk]
Investigation of the mechanisms of speech communication by brain science Sadao Hiroya (NTT) |
[more] | SP2017-75 pp.49-54 |
| SP, ASJ-H | 2018-01-21 10:45 |
Tokyo | The University of Tokyo | Perception Boundary of Singleton and Geminate Stops by Japanese and Taiwanese Mandarin Speakers Shigeaki Amano (Aichi Shukutoku Univ.), Kimiko Ymakawa (Shokei Univ.) |
[more] | SP2017-76 pp.55-60 |
| SP, ASJ-H | 2018-01-21 11:10 |
Tokyo | The University of Tokyo | Brain activity during voicing perception in stop consonants
-- A magnetoencephalography study -- Shunsuke Tamura, Kazuhito Ito, Naruhito Hironaga, Takako Mitsudo, Nobuyuki Hirose, Shuji Mori (Kyusyu Univ.) |
[more] | SP2017-77 pp.61-66 |
| SP, ASJ-H | 2018-01-21 11:35 |
Tokyo | The University of Tokyo | Survey on awareness and actual conditions of clumsy speaking Tatsuya Kitamura (Konan Univ.), Yukiko Nota (ATR), Michiko Hashi (Prefectural Univ. of Hiroshima), Hironori Takemoto (Chiba Inst. of Technology) |
[more] | SP2017-78 pp.67-72 |
| SP, ASJ-H | 2018-01-21 12:00 |
Tokyo | The University of Tokyo | Auditory spatial attention affects word intelligibility in noisy environment Ryo Teraoka, Shuichi Sakamoto, Zhenglie Cui, Yoiti Suzuki, Satoshi Shioiri (Tohoku Univ.) SP2017-79 |
Attention plays an important role in perception and cognition of surround environments. Humans can attend to an individu... [more] | SP2017-79 pp.73-77 |
| SP, ASJ-H | 2018-01-21 13:30 |
Tokyo | The University of Tokyo | [Invited Talk]
Impact of WaveNet on Speech Synthesis Research Tomoki Toda (Nagoya Univ./JST) SP2017-80 |
[more] | SP2017-80 p.79 |
| SP, ASJ-H | 2018-01-21 14:45 |
Tokyo | The University of Tokyo | An investigation of multi-speaker WaveNet vocoder Tomoki Hayashi, Kazuhiro Kobayashi, Akira Tamamori, Kazuya Takeda, Tomoki Toda (Nagoya Univ.) SP2017-81 |
In this paper, we investigate a multi-speaker WaveNet vocoder. In our previous work, we have demonstrated that our propo... [more] | SP2017-81 pp.81-86 |
| SP, ASJ-H | 2018-01-21 15:10 |
Tokyo | The University of Tokyo | Statistical voice conversion with WaveNet vocoder Kazuhiro Kobayashi, Tomoki Hayashi, Akira Tamamori, Tomoki Toda (Nagoya Univ.) SP2017-82 |
[more] | SP2017-82 pp.87-92 |
| SP, ASJ-H | 2018-01-21 15:35 |
Tokyo | The University of Tokyo | Mel-cepstrum based quantization noise shaping applied to speech synthesis based on WaveNet Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2017-83 |
This paper proposes a mel-cepstrum based quantization noise shaping for improving the quality of synthetic speech genera... [more] | SP2017-83 pp.93-98 |
| SP, ASJ-H | 2018-01-21 16:00 |
Tokyo | The University of Tokyo | A study on voice conversion based on WaveNet Jumpei Niwa, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (NIT) SP2017-84 |
This paper proposes a voice conversion technique based on WaveNet to directly generate target audio waveforms from acous... [more] | SP2017-84 pp.99-104 |
[Return to Top Page]