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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 10:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Singing voice synthesis based on a frame-driven attention mechanism considering vocal timing deviation Miku Nishihara, Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (NITech)  EA2022-78 SIP2022-122 SP2022-42 |
This paper proposes singing voice synthesis (SVS) based on a frame-driven attention mechanism considering vocal timing d... [more] | EA2022-78 SIP2022-122 SP2022-42 pp.19-24 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Synthetic speech-based sound masking for privacy protection when speaking to smartphones in public space Takahiro Tsugui, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2019-38 |
In this paper, we propose a synthetic speech-based sound masking method that protects the privacy when speaking to smart... [more] | SP2019-38 pp.55-60 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 16:00 |
Tokyo | NHK Science & Technology Research Labs. | A comparison of neural vocoders in singing voice synthesis Sota Wada, Yukiya Hono, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2019-42 |
In this study, we compare five types of vocoders based on neural networks (neural vocoders) for singing voice synthesis.... [more] | SP2019-42 pp.85-90 |
| PRMU, SP | 2018-06-29 11:00 |
Nagano | Speaker adaptation in speech synthesis based on neural networks including temporal structure modeling Kento Nakao, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (NIT) PRMU2018-31 SP2018-11 |
This paper proposes a speaker adaptation technique for speech synthesis based on deep neural networks (DNNs) using a str... [more] | PRMU2018-31 SP2018-11 pp.53-58 |
|
| 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 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 |
| SP | 2017-01-21 11:00 |
Tokyo | The University of Tokyo | [Poster Presentation]
Designing linguistic features for expressive speech synthesis using audiobooks Chiaki Asai, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2016-70 |
In order to synthesize expressive speech, various statistical parametric speech synthesis systems have been proposed. Sp... [more] | SP2016-70 pp.35-40 |
| SP | 2017-01-21 16:35 |
Tokyo | The University of Tokyo | Simultaneous modeling of acoustic feature sequences and its temporal structures for DNN-based speech synthesis Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2016-76 |
In statistical parametric speech synthesis, a hidden Markov model (HMM) is widely used as an acoustic model. Recently, d... [more] | SP2016-76 pp.71-76 |
| PRMU, SP, WIT, ASJ-H | 2016-06-13 09:30 |
Tokyo | Image recognition based on discriminative models using features generated from separable lattice HMMs Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2016-36 SP2016-2 WIT2016-2 |
One of the major problems in image recognition is degradation in the recognition performance caused by geometric variati... [more] | PRMU2016-36 SP2016-2 WIT2016-2 pp.7-12 |
|
| PRMU, CNR | 2016-02-21 14:00 |
Fukuoka | Parameter sharing structures of separable lattice HMMs using mixture output distributions for image recognition Masato Sukegawa, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2015-138 CNR2015-39 |
In image recognition systems, it is important to deal with geometrical variations such as size and location. Separable l... [more] | PRMU2015-138 CNR2015-39 pp.37-42 |
|
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2015-12-03 09:00 |
Aichi | Nagoya Inst of Tech. | Evaluation of text-to-speech system construction for unknown-pronunciation languages Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2015-80 |
This paper discusses a method to construction of text-to-speech (TTS) systems for unknown-pronunciation languages. There... [more] | SP2015-80 pp.93-98 |
| SP, IPSJ-SLP (Joint) |
2015-07-17 14:10 |
Nagano | Katakura Suwako Hotel | Investigation of privacy-preserving sounds to degrade automatic speaker verification performance Kei Hashimoto (NITECH), Junichi Yamagishi, Isao Echizen (NII) SP2015-49 |
Sharing speech without permission and identifying the individual from the speech by speaker recognition lead to problems... [more] | SP2015-49 pp.79-84 |
| SP | 2014-01-23 16:00 |
Aichi | Meijo Univ. | Speaker recognition based on log-linear models using feature generation by variational Bayesian method Akifumi Tsuge, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2013-98 |
This paper presents a speaker recognition technique based on log-linear models (LLMs) using Bayesian statistics. Since d... [more] | SP2013-98 pp.13-18 |
| PRMU | 2013-02-22 09:30 |
Osaka | Extended separable lattice HMMs based on state duration control for recognition of images with variations Takaya Makino, Shinji Takaki, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2012-164 |
In this paper, an extension of separable lattice HMMs is described that (SL-HMM) introduces state duration control for d... [more] | PRMU2012-164 pp.149-154 |
|
| PRMU | 2013-02-22 10:00 |
Osaka | Image recognition based on hidden Markov eigen-image models with the variational Bayesian method Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2012-165 |
This paper proposes an image recognition technique based on Hidden Markov Eigen-image Models (HMEMs) using the variation... [more] | PRMU2012-165 pp.155-160 |
|
| PRMU | 2011-11-25 13:45 |
Nagasaki | Face recognition based on separable lattice 2-D HMMs with variational Bayesian method Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2011-120 |
This paper proposes an image recognition technique based on separable lattice 2-D hidden Markov models (SL2D-HMMs) with ... [more] | PRMU2011-120 pp.125-130 |
|
| SP | 2011-06-23 15:30 |
Aichi | Nagoya Univ. | Bayesian speech recognition based on model structure integration Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2011-32 |
This paper proposes an acoustic modeling technique using multiple model structures based on a Bayesian framework for spe... [more] | SP2011-32 pp.11-16 |
| SP, NLC | 2008-12-10 09:55 |
Tokyo | Waseda Univ. | Bayesian Context Clustering Using Cross Validation for HMM-Based Speech Synthesis Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Institute of Technology) NLC2008-36 SP2008-91 |
This paper proposes a prior distribution determination technique using cross validation for HMM-based speech synthesis b... [more] | NLC2008-36 SP2008-91 pp.73-78 |
| SP, NLC | 2008-12-10 16:10 |
Tokyo | Waseda Univ. | Speaker Recognition Based on Gaussian Mixture Models Using Variational Bayesian Method Tatsuya Ito, Kei Hashimoto, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nitech) NLC2008-55 SP2008-110 |
[more] | NLC2008-55 SP2008-110 pp.185-190 |
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