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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 90 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP 2018-08-27
11:35
Kyoto Kyoto Univ. [Poster Presentation] Discrimination of pharyngeal residue using swallowing sound in dysphagia diagnosis
Tatsunori Uchino, Atsushi Hashizume, Masahisa Katsuno, Tomoki Toda (Nagoya Univ.) SP2018-27
The measurement of pharyngeal residue with X-ray fluoroscopy is widely used as a typical diagnosis method of swallowing ... [more] SP2018-27
pp.23-27
SP 2018-08-27
15:55
Kyoto Kyoto Univ. Sound Event Encoder Using Onomatopoeic Representations based on End-to-End Approach
Koichi Miyazaki, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2018-30
In this paper, we propose a sound event encoder for converting sound events into their onomatopoeic representations. The... [more] SP2018-30
pp.37-42
EA, ASJ-H 2018-08-23
12:55
Miyagi Tohoku Gakuin Univ. Self-produced speech enhancement and suppression method with wearable air- and body-conductive microphones
Moe Takada, Shogo Seki, Tomoki Toda (Nagoya Univ.) EA2018-29
This paper presents a self-produced speech enhancement and suppression method for multichannel signals recorded with bot... [more] EA2018-29
pp.7-12
PRMU, SP 2018-06-28
15:10
Nagano   Multimodal voice conversion using deep bottleneck features and deep canonical correlation analysis
Satoshi Tamura, Kento Horio, Hajime Endo, Satoru Hayamizu (Gifu Univ.), Tomoki Toda (Nagoya Univ.) PRMU2018-24 SP2018-4
In this paper, we aim at improving the speech quality in voice conversion and propose a novel multi-modal voice conversi... [more] PRMU2018-24 SP2018-4
pp.13-18
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] An investigation of singing voice separation methods for a statistical approach to singing voice modification in music
Tomoya Yamada, Shogo Seki, Kazuhiro Kobayashi, Tomoki Toda (Nagoya Univ.) EA2017-139 SIP2017-148 SP2017-122
 [more] EA2017-139 SIP2017-148 SP2017-122
pp.209-214
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
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2017-12-21
12:50
Tokyo Waseda Univ. Green Computing Systems Research Organization [Poster Presentation] Development of Speaker/Environment-Dependent Acoustic Model for Non-Audible Murmur Recognition Based on DNN Adaptation
Seita Noda, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2017-56
In this research, we aim to improve the performance of non-audible murmur (NAM) recognition towards the development of s... [more] SP2017-56
pp.7-10
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, ASJ-H 2017-07-20
13:40
Hokkaido Hokkaido Univ. Explicit Event Duration-Controlled BLSTM-HSMM Hybrid Model for Polyphonic Sound Event Detection
Tomoki Hayashi (Nagoya Univ.), Shinji Watanabe (MERL), Tomoki Toda (Nagoya Univ.), Takaaki Hori, JonathanLe Roux (MERL), Kazuya Takeda (Nagoya Univ.) EA2017-2
This paper presents a new BLSTM-HSMM hybrid approach for polyphonic Sound Event Detection (SED). It builds upon a state-... [more] EA2017-2
pp.9-14
SP, SIP, EA 2017-03-01
09:20
Okinawa Okinawa Industry Support Center Speech waveform synthesis based on WaveNet considering speech generation process
Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) EA2016-82 SIP2016-137 SP2016-77
Our aim is to realize a new vocoder, which can resolve various constraints imposed on source-filter model and deal with ... [more] EA2016-82 SIP2016-137 SP2016-77
pp.1-6
SP, SIP, EA 2017-03-01
09:45
Okinawa Okinawa Industry Support Center Nonaudible murmur enhancement based on non-negative tensor factorization with segment feature regularization in noisy environments
Yusuke Tajiri (Nagoya Univ.), Hirokazu Kameoka (NTT), Tomoki Toda (Nagoya Univ.) EA2016-83 SIP2016-138 SP2016-78
Towards the development of silent speech communication, there has been studied a statistical approach to enhancing nonau... [more] EA2016-83 SIP2016-138 SP2016-78
pp.7-12
SP, SIP, EA 2017-03-01
10:50
Okinawa Okinawa Industry Support Center Missing Component Restoration for Speech Spectrogram Based on Time-domain Signal Estimation
Shogo Seki (Nagoya Univ.), Hirokazu Kameoka (NTT), Tomoki Toda, Kazuya Takeda (Nagoya Univ.) EA2016-85 SIP2016-140 SP2016-80
This study proposes a missing component restoration method for time-frequency masked speech spectrogram based on time-do... [more] EA2016-85 SIP2016-140 SP2016-80
pp.19-24
SP, SIP, EA 2017-03-02
09:00
Okinawa Okinawa Industry Support Center [Poster Presentation] Acoustic-to-articulatory inversion mapping with variational latent trajectory Gaussian mixture model
Patrick Lumban Tobing (Nagoya Univ.), Hirokazu Kameoka (NTT), Tomoki Toda (Nagoya Univ.) EA2016-134 SIP2016-189 SP2016-129
 [more] EA2016-134 SIP2016-189 SP2016-129
pp.291-296
SP 2016-08-24
13:00
Kyoto ACCMS, Kyoto Univ. Adaptation Methods for Daily Activity Recognition Based on Deep Neural Network
Tomoki Hayashi (Nagoya Univ.), Norihide Kitaoka (Tokushima Univ.), Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2016-27
Our objective is to build a monitoring system which enables elderly people to live actively, and the key technology to a... [more] SP2016-27
pp.1-6
SP 2016-08-24
13:25
Kyoto ACCMS, Kyoto Univ. Daily Activity Recognition Based on Recurrent Neural Network
Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2016-28
Our goal is to build an automatic surveillance system for elderly people and the core technique is daily activity recogn... [more] SP2016-28
pp.7-12
EA, SP, SIP 2016-03-28
09:00
Oita Beppu International Convention Center B-ConPlaza Method of presenting sound signals for selective listening system
Tomomi Suzuki (Nagoya Univ.), Takanori Nishino (Mie Univ.), Yoshio Ishiguro, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) EA2015-66 SIP2015-115 SP2015-94
We are able to selectively concentrate on the desired acoustic information in the environmental sounds.
The aim of this... [more]
EA2015-66 SIP2015-115 SP2015-94
pp.1-6
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
EA, SP, SIP 2016-03-28
13:15
Oita Beppu International Convention Center B-ConPlaza [Poster Presentation] Nonaudible murmur enhancement based on non-negative tensor factorization of air- and body-conducted signals in real environments
Yusuke Tajiri (NAIST), Hirokazu Kameoka (NTT), Tomoki Toda (Nagoya Univ./NAIST), Satoshi Nakamura (NAIST) EA2015-86 SIP2015-135 SP2015-114
Nonaudible murmur (NAM) recorded with a special body-conductive microphone called NAM microphone is one of the promising... [more] EA2015-86 SIP2015-135 SP2015-114
pp.117-122
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