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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 89  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-MUS, IPSJ-SLP [detail] 2022-06-17
15:00
Online Online Representation and analytical normalization for vocal-tract-length transformation by group theory
Atsushi Miyashita, Tomoki Toda (Nagoya Univ)
(To be available after the conference date) [more]
EA 2022-05-13
14:35
Online Online A serial anomalous sound detection method using outlier exposure based on two types of binary classification
Ibuki Kuroyanagi (Nagoya Univ.), Tomoki Hayashi (Nagoya Univ./HDL/), Kazuya Takeda, Tomoki Toda (Nagoya Univ.)
Anomalous sound detection systems use only normal sound data to detect unknown, atypical sounds. Conventional methods us... [more] EA2022-8
pp.35-40
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-01
14:45
Okinawa
(Primary: On-site, Secondary: Online)
Target speaker extraction based on conditional variational autoencoder and directional information in underdetermined condition
Rui Wang, Li Li, Tomoki Toda (Nagoya Univ)
This paper deals with a dual-channel target speaker extraction problem in underdetermined conditions. A blind source sep... [more] EA2021-76 SIP2021-103 SP2021-61
pp.76-81
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
14:05
Online Online [Poster Presentation] A unified source-filter network for neural vocoder
Reo Yoneyama, Yi-Chiao Wu, Tomoki Toda (Nagoya Univ.) EA2020-69 SIP2020-100 SP2020-34
In this paper, we propose a method to develop a neural vocoder using a single network based on the source-filter theory.... [more] EA2020-69 SIP2020-100 SP2020-34
pp.57-62
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
09:00
Online Online Anomalous Sound Detection Using a Binary Classification Model Considering Class Centroids
Ibuki Kuroyanagi, Tomiki Hayashi, Kazuya Takeda, Tomoki Toda (Nagoya Univ) EA2020-79 SIP2020-110 SP2020-44
In an anomalous sound detection system, it is necessary to detect unknown anomalous sounds using only normal sound data.... [more] EA2020-79 SIP2020-110 SP2020-44
pp.114-121
SP, EA, SIP 2020-03-02
09:20
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Investigation of neural speech rate conversion with multi-speaker WaveNet vocoder
Takuma Okamoto (NICT), Keisuke Matsubara (Kobe Univ./NICT), Tomoki Toda (Nagoya Univ./NICT), Yoshinori Shiga, Hisashi Kawai (NICT) EA2019-101 SIP2019-103 SP2019-50
Speech rate conversion technology, which can expand or compress speech waveforms without changing pitch of sound, is con... [more] EA2019-101 SIP2019-103 SP2019-50
pp.1-6
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Cross-Lingual Voice Conversion using Cyclic Variational Auto-encoder
Hikaru Nakatani, Patrick Lumban Tobing, Kazuya Takeda, Tomoki Toda (Nagoya Univ.) EA2019-139 SIP2019-141 SP2019-88
In this report, we present a novel cross-lingual voice conversion (VC) method based on cyclic variational auto-encoder (... [more] EA2019-139 SIP2019-141 SP2019-88
pp.219-224
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Semi-supervised Self-produced Speech Enhancement and Suppression Based on Joint Source Modeling of Air- and Body-conducted Signals Using Variational Autoencoder
Shogo Seki, Moe Takada, Kazuya Takeda, Tomoki Toda (Nagoya Univ.) EA2019-140 SIP2019-142 SP2019-89
This paper proposes a semi-supervised method for enhancing and suppressing self-produced speech, using a variational aut... [more] EA2019-140 SIP2019-142 SP2019-89
pp.225-230
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2019-12-06
16:25
Tokyo NHK Science & Technology Research Labs. An evaluation of representation learning using phoneme posteriorgrams and data augmentation in speech emotion recognition
Shintaro Okada (Nagoya Univ.), Atsushi Ando (Nagoya Univ./NTT), Tomoki Toda (Nagoya Univ.) SP2019-43
This paper presents a new speech emotion recognition method based on representation learning and data augmentation.
To ... [more]
SP2019-43
pp.91-96
SP 2019-08-28
14:40
Kyoto Kyoto Univ. [Poster Presentation] Intelligibility enhancement based on speech waveform modification using hearing impairment simulator
Shu Hikosaka, Kazuhiro Kobayashi, Tomoki Hayashi, Shogo Seki, Kazuya Takeda (Nagoya Univ.), Hideki Banno (Meijo Univ.), Tomoki Toda (Nagoya Univ.) SP2019-13
For sensory hearing loss, which is difficult to treat medically, a hearing aid is commonly used to assist the hearing fu... [more] SP2019-13
pp.25-29
SP 2019-08-28
14:40
Kyoto Kyoto Univ. [Poster Presentation] An investigation on training of WaveNet vocoder in end-to-end text-to-speech
Kazuki Yasuhara, Tomoki Hayashi, Tomoki Toda (Nagoya Univ.) SP2019-14
In this paper, we investigate the training of WaveNet vocoder in end-to-end text-to-speech. Tacotron 2, which is an end-... [more] SP2019-14
pp.31-36
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
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] An Evaluation of Underdetermined Source Separation Based on Multichannel Variational Autoencoder
Shogo Seki (Nagoya Univ.), Hirokazu Kameoka (NTT), Li Li (Univ. Tsukuba), Tomoki Toda, Kazuya Takeda (Nagoya Univ.) EA2018-154 SIP2018-160 SP2018-116
This paper deals with a multichannel audio source separation problem under underdetermined conditions. Multichannel Non-... [more] EA2018-154 SIP2018-160 SP2018-116
pp.323-328
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] Development of NU Voice Conversion System 2018
Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi (Nagoya Univ.), Tomoki Toda (Nagoya Univ./JST PRESTO) EA2017-138 SIP2017-147 SP2017-121
This paper presents NU (Nagoya University) voice conversion (VC) system for the HUB task of Voice
Conversion Challenge ... [more]
EA2017-138 SIP2017-147 SP2017-121
pp.203-208
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
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
 Results 1 - 20 of 89  /  [Next]  
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