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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, US
(Joint)
2022-12-22
16:50
Hiroshima Satellite Campus Hiroshima [Poster Presentation] Data augmentation method for machine learning on speech data
Tsubasa Maruyama (Tokyo Tech), Tsutomu Ikegami (AIST), Toshio Endo (Tokyo Tech), Takahiro Hirofuchi (AIST) EA2022-68
In machine learning, data augmentation is a method to enhance the number and diversity of data by adding transformations... [more] EA2022-68
pp.42-48
SP, IPSJ-SLP, IPSJ-MUS 2021-06-19
15:00
Online Online Simulation of Body-conducted Speech and Synthesis of One's Own Voice with a Sound-proof Earmuff and Bone-conduction Microphones
Chen Ruiyan, Nishimura Tazuko, Minematsu Nobuaki, Saito Daisuke (UTokyo) SP2021-15
When one hears his/her recorded voices for the first time, s/he is probably surprised and not rarely disappointed at the... [more] SP2021-15
pp.63-68
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Robustness of statistical voice conversion based on waveform modification against external noise
Yusuke Kurita, Kazuhiro Kobayashi, Kazuya Takeda (Nagoya Univ.), Tomoki Toda (Nagoya Univ./JST PRESTO) EA2018-153 SIP2018-159 SP2018-115
In this report, we investigate the statistical voice conversion (VC) under noisy environments.
VC achieves conversion f... [more]
EA2018-153 SIP2018-159 SP2018-115
pp.317-322
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] A Hybrid Approach on Electrolaryngeal Speech Enhancement based on Spectral Differential Features and Noise Suppression
Mohammad Eshghi, Kazuhiro Kobayashi, Tomoki Toda (Nagoya Univ.) EA2017-141 SIP2017-150 SP2017-124
This work presents a hybrid approach for enhancing the quality of the electrolaryngeal (EL) speech. Current hybrid enhan... [more] EA2017-141 SIP2017-150 SP2017-124
pp.221-226
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 2018-01-21
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
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2017-12-21
12:50
Tokyo Waseda Univ. Green Computing Systems Research Organization [Poster Presentation] An Evaluation of Speech Waveform Modification Methods towards Improvement of Speech Intelligibility in Noisy Environment
Tomohiro Takeyama, Kazuhiro Kobayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2017-57
In this research, in order to improve speech intelligibility for a listener under the noisy environment, we propose a te... [more] SP2017-57
pp.11-16
EA, SP, SIP 2016-03-28
13:15
Oita Beppu International Convention Center B-ConPlaza [Poster Presentation] An evaluation of F0 transformation for statistical singing voice conversion based on spectral differential filtering
Kazuhiro Kobayashi (NAIST), Tomoki Toda (Nagoya Univ./NAIST), Satoshi Nakamura (NAIST) EA2015-84 SIP2015-133 SP2015-112
In this report, we propose a technique for cross-gender statistical singing voice conversion (SVC) with direct waveform ... [more] EA2015-84 SIP2015-133 SP2015-112
pp.105-110
SP 2016-01-14
15:10
Kanagawa Sunpian Kawasaki Objective evaluation of synthetic speech using association between dimensions within spectral features
Yusuke Ijima, Taichi Asami (NTT), Hideyuki Mizuno (TUSS) SP2015-90
This paper proposes a novel objective evaluation technique for statistical parametric speech synthesis. A novel point of... [more] SP2015-90
pp.27-32
WIT, SP, ASJ-H, PRMU 2015-06-18
14:25
Niigata   Non-Audible Murmur Enhancement Method using Air- and Body-Conductive Microphones in Noisy Environments and its Evaluation
Yusuke Tajiri, Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) PRMU2015-42 SP2015-11 WIT2015-11
As one of the silent speech interfaces, Non-Audible Murmur (NAM) microphone which can detect an extremely soft whispered... [more] PRMU2015-42 SP2015-11 WIT2015-11
pp.59-64
SP 2013-11-21
14:30
Nara Nara Institute of Science and Technology Evaluation of Excitation Feature Prediction in a Hybrid Approach to Electrolaryngeal Speech Enhancement
Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2013-72
We implement removing micro-prosody with low-pass filtering and avoiding Unvoiced/Voiced (U/V) prediction as part of a h... [more] SP2013-72
pp.7-12
SP 2012-11-08
11:00
Miyagi Ichibancho Lobby, Tohoku Institute of Technology Implementation of real-time statistical voice conversion on a DSP
Takuto Moriguchi, Tomoki Toda (NAIST), Motoaki Sano, Hiroshi Sato (FOSTER), Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2012-73
Real-time statistical voice conversion is one of promising approach to developing technology for body– conducted s... [more] SP2012-73
pp.7-12
WIT, SP 2009-10-30
09:45
Aomori ASPAM An Evaluation of Statistical Voice Conversion in Speaking-Aid Systems Using External Sound Signals
Keigo Nakamura, Tomoki Toda, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) SP2009-57 WIT2009-63
This paper presents experimental evaluations of statistical voice conversion from artificial speech spoken by a laryngec... [more] SP2009-57 WIT2009-63
pp.49-54
WIT, ITE-CE, ITE-ME [detail] 2007-08-03
15:45
Tokyo Ochanomizu Univ. Evaluation of Artificial Speech Conversion System Using a Laryngectomee's Data
Keigo Nakamura, Tomoki Toda, Yoshitaka Nakajima, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) WIT2007-21
We are investigating speech communication-aid methods for laryngectomees whose vocal folds were removed due to laryngeal... [more] WIT2007-21
pp.31-36
SP
Toyama Toyama Prefectural University Comparison of Small Sound Source Signals in the Speech Communication-Aid System for Laryngectomees
Keigo Nakamura, Tomoki Toda, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) SP2007-39
A system which outputs a more natural voice converted from extremely small articulated signals had been proposed as a sp... [more] SP2007-39
pp.91-96
 Results 1 - 15 of 15  /   
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