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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 92  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
09:30
Okinawa
(Primary: On-site, Secondary: Online)
SELECTING N-LOWEST SCORES FOR TRAINING MOS PREDICTION MODELS
Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko (NTT) EA2023-94 SIP2023-141 SP2023-76
Automatic speech quality assessment (SQA) is a task to evaluate the quality of speech samples without resorting to time-... [more] EA2023-94 SIP2023-141 SP2023-76
pp.196-201
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
16:35
Okinawa
(Primary: On-site, Secondary: Online)
Simulation Evaluation of Speech Detection Based on Distributed Sound-to-Light Conversion Device Blinkies
Satoshi Motoyama, Natsuki Ueno, Masahiro Yasuda (TMU), Yuma Kinoshita (Tokai Univ.), Nobutaka Ono (TMU) EA2023-126 SIP2023-173 SP2023-108
The purpose of this study is speech detection using the distributed sound-to-light conversion device Blinkies. As an ini... [more] EA2023-126 SIP2023-173 SP2023-108
pp.382-387
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
Investigation of audio feedback method for speakers in speech rate converted conversation. -- Evaluation of presented sound to understand the listening completion point of listener. --
Yudai Ishikawa, Hiroto Saito (Tokyo Denki Univ.)
This study focuses on the time difference between the speaker and the listener that occurs when speech-rate conversion i... [more]
HCS, CNR 2023-11-05
16:35
Tokyo Kogakuin University
(Primary: On-site, Secondary: Online)
Evaluation of Ease of Hearing for Speech Rate Converted Speech with Constant Speech Rate
Miou Oyama, Hiroto Saito (Tokyo Denki Univ.) CNR2023-18 HCS2023-80
Speech rate conversion (SRC) is a technology used to expand or contract the playback time without altering the pitch of ... [more] CNR2023-18 HCS2023-80
pp.62-67
WIT, SP, IPSJ-SLP [detail] 2023-10-14
16:40
Fukuoka Kyushu Institute of Technology
(Primary: On-site, Secondary: Online)
Sequence-to-sequence Voice Conversion for Electrolaryngeal Speech Enhancement with Multi-stage Pretraining and Fine-tuning Techniques
Ding Ma, Lester Phillip Violeta, Kazuhiro Kobayashi, Tomoki Toda (Nagoya Univ.) SP2023-32 WIT2023-23
Sequence-to-sequence (seq2seq) voice conversion (VC) models have great potential for electrolaryngeal (EL) speech to nor... [more] SP2023-32 WIT2023-23
pp.27-32
WIT, SP, IPSJ-SLP [detail] 2023-10-14
17:05
Fukuoka Kyushu Institute of Technology
(Primary: On-site, Secondary: Online)
Electrolaryngeal Speech Enhancement through Strong Linguistic Encoding Methods
Lester Phillip Violeta, Wen-Chin Huang, Ding Ma, Ryuichi Yamamoto, Kazuhiro Kobayashi, Tomoki Toda (Nagoya Univ.) SP2023-33 WIT2023-24
Although pretraining and fine-tuning approaches have proven to work well in speech intelligibility enhancement, various ... [more] SP2023-33 WIT2023-24
pp.33-38
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
11:20
Okinawa
(Primary: On-site, Secondary: Online)
An Investigation of Text-to-Speech Synthesis Using Voice Conversion and x-vector Embedding Sympathizing Emotion of Input Audio for Spoken Dialogue Systems
Shunichi Kohara, Masanobu Abe, Sunao Hara (Okayama Univ.) EA2022-109 SIP2022-153 SP2022-73
In this paper, we propose a Text-to-Speech synthesis method to synthesize the same emotional expression as the input spe... [more] EA2022-109 SIP2022-153 SP2022-73
pp.203-208
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
CCS 2022-11-18
09:00
Mie
(Primary: On-site, Secondary: Online)
Voice Quality Conversion by Two-Step Process of Speech Feature Extraction and Speaker-Controlled Speech Synthesis
Taichi Fukawa, Kenya Jin'no (Tokyo City Univ.) CCS2022-52
Many methods have been proposed in the field of voice quality conversion that use a style-transforming autoencoder. Howe... [more] CCS2022-52
pp.47-52
HCS 2022-08-27
15:15
Hyogo
(Primary: On-site, Secondary: Online)
A Study of Feedback Methods for Speakers in Speech Rate Converted Conversation -- Comparative evaluation for adaptive switching between audio feedback and visual feedback --
Kazuma Ban (Tokyo Denki Univ.), Hiroko Tokunaga (Tokyo Denki Univ./RIKEN), Naoki Mukawa, Hiroto Saito (Tokyo Denki Univ.) HCS2022-47
Speech rate conversion is a useful technique for people who need assistance in listening comprehension and non-native sp... [more] HCS2022-47
pp.61-66
SIP 2022-08-26
14:08
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Study on Bone-conducted Speech Enhancement Using Vector-quantized Variational Autoencoder and Gammachirp Filterbank Cepstral Coefficients
Quoc-Huy Nguyen, Masashi Unoki (JAIST) SIP2022-71
Bone-conducted (BC) speech potentially avoids the undesired effects on recorded speech due to background noise or reverb... [more] SIP2022-71
pp.109-114
SP, IPSJ-MUS, IPSJ-SLP [detail] 2022-06-17
15:00
Online Online Study of End-to-End Text-to-Speech that can seamlessly control speaker's individuality by Manipulating Speaker features
Naoki Aotani, Sunao Hara, Msanobu Abe (Okayama Univ) SP2022-14
In this paper, we investigate an End-to-End speech synthesis scheme that enables to seamlessly control speaker individua... [more] SP2022-14
pp.55-60
SP, IPSJ-MUS, IPSJ-SLP [detail] 2022-06-18
10:50
Online Online [Invited Talk] Crazy vocoder is unbreakable -- But let's talk about an informal vision of the future --
Masanori Morise (Meiji Univ.) SP2022-15
When current speech synthesis researchers refer to Vocoder in their papers, they are most likely referring to Neural voc... [more] SP2022-15
pp.61-66
SP, IPSJ-MUS, IPSJ-SLP [detail] 2022-06-18
13:00
Online Online [Poster Presentation] Proposal of Speech Content Conversion and the Initial Trial: Conversion of Linguistic Information Depending on Situations
Kohei Takita, Saizo Aoyagi, Tatsunori Hirai (Komazawa Univ.) SP2022-19
It is important to speak dialects, honorifics, and simple words for listeners and the environment in order to smooth com... [more] SP2022-19
pp.82-87
HCS 2022-03-12
10:10
Online Online Evaluation of Feedback Methods for Speakers in Speech Rate Converted Conversation
Tamami Mizuta, Hiroko Tokunaga, Naoki Mukawa, Hiroto Saito (Tokyo Denki Univ.) HCS2021-70
This study clarifies the characteristics of voice feedback and visual feedback, which are support functions for speakers ... [more] HCS2021-70
pp.55-60
EA, US
(Joint)
2021-12-22
13:30
Kumamoto Sojo University [Poster Presentation] Improved voice quality due to multi-speaker learning with WaveNet vocoder
Satoshi Yoshida, Shingo Uenohara, Ken'ichi Furuya (Oita Univ.) EA2021-57
In recent years, speech synthesis and voice quality conversion techniques using neural networks have attracted much atte... [more] EA2021-57
pp.1-6
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] 2021-12-03
10:30
Online Online An approach to voice conversion for manipulating emotion dimensions
Keita Mukada, Hiroki Mori (Utsunomiya Univ.) NLC2021-25 SP2021-46
We propose an emotional voice conversion method based on the emotion dimensions. Conventional emotional voice conversion... [more] NLC2021-25 SP2021-46
pp.39-41
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
SP, IPSJ-SLP, IPSJ-MUS 2021-06-19
15:00
Online Online Preliminary study on synthesizing relaxing voices -- from a perspective of recognized/evoked emotions and acoustic features --
Yuki Watanabe, Shuichi Sakamoto (Tohoku Univ.), Takayuki Hoshi, Yoshiki Nagatani, Manabu Nakano (Pixie Dust Technologies) SP2021-19
The goal of this study is to synthesize speech sound which induces relaxed emotion. As the preliminary study, we investi... [more] SP2021-19
pp.85-90
HCGSYMPO
(2nd)
2020-12-15
- 2020-12-17
Online Online Effects on Speakers' Behaviors in Speech Rate Converted Conversation by Keeping Constant of Listening Speed for Hearer
Hiroyuki Oba, Tamami Mizuta, Hiroko Tokunaga, Naoki Mukawa, Hiroto Saito (Tokyo Denki Univ.)
In this study, we evaluate the effects on speakers’ behaviors in speech rate converted conversation that keeps the liste... [more]
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