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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 478 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
16:50
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Parallel-Data-Free Japanese Singer Conversion using CycleGAN Considering Perceptual Loss in Singing Phoneme Sequences
Kanade Gemmoto, Nobutaka Shimada, Tadashi Matsuo (Ritsumeikan Univ) PRMU2022-114 IBISML2022-121
This paper proposes a one-to-one Japanese Singing Voice Conversion (SVC) method without using parallel data.
Our method... [more]
PRMU2022-114 IBISML2022-121
pp.293-298
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
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
10:40
Okinawa
(Primary: On-site, Secondary: Online)
Diffusion-based parallel voice conversion with source-feature condition
Takuya Kishida, Toru Nakashika (UEC) EA2022-107 SIP2022-151 SP2022-71
We propose a voice conversion method based on a diffusion probabilistic model trained on a parallel dataset. Since the d... [more] EA2022-107 SIP2022-151 SP2022-71
pp.191-196
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
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
11:40
Okinawa
(Primary: On-site, Secondary: Online)
Choral Singing Voice Synthesis with Modulation Acoustic Features
Sora Miyazawa, Anan Kikuchi, Daisuke Saito, Nobuaki Minematsu (UTokyo) EA2022-110 SIP2022-154 SP2022-74
In this paper, we analyzed the sense of multipule singing focused on unison and implemented it for a singing voice
synt... [more]
EA2022-110 SIP2022-154 SP2022-74
pp.209-214
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
16:50
Okinawa
(Primary: On-site, Secondary: Online)
Effects of Voice Artificiality on the Degree of Compatibility between Voice and Appearance of Voice Agents
Kota Iura, Naotake Masuda, Daisuke Saito, Nobuaki Minematsu (UTokyo) EA2022-121 SIP2022-165 SP2022-85
For a spoken agent such as interactive robots, it is important to use a voice that fits the image of the agent in terms ... [more] EA2022-121 SIP2022-165 SP2022-85
pp.264-269
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
17:10
Okinawa
(Primary: On-site, Secondary: Online)
Quantification of Voice Register Information including Mixed Voice based on Class Posterior Probabilities
Yu Kitamura, Anan Kikuchi, Daisuke Saito, Nobuaki Minematsu (UTokyo) EA2022-122 SIP2022-166 SP2022-86
Methods to distinguish between modal and falsetto have been proposed so far,
but there are few studies analyzing mixed ... [more]
EA2022-122 SIP2022-166 SP2022-86
pp.270-275
HIP, ITE-HI, VRPSY [detail] 2023-02-22
13:20
Toyama
(Primary: On-site, Secondary: Online)
Is discomfort with one's own voice like an "Uncanny valley" phenomenon? -- A study using voice morphing --
Hidekazu Nagamura, Seita Tomioka, Taichirou Tanaka, Kohta I. Kobayasi (Doshisha Univ.) HIP2022-79
Whereas our own voices are familiar to us in everyday life, we feel uncomfortable when listening to recordings of the vo... [more] HIP2022-79
pp.19-22
HCS 2023-01-22
15:35
Kyoto Kyoto Institute of Technology
(Primary: On-site, Secondary: Online)
Nanto-Type Exclamatory Sentences -- The Effect of the Presence or Absence of the Particle No on (Un)pleasantness Evaluation --
Akihiko Sakamoto (Tokyo Denki Univ.), Sachiko Takagi (Tokiwa Univ.) HCS2022-73
(To be available after the conference date) [more] HCS2022-73
pp.102-107
KBSE 2023-01-19
14:00
Ishikawa  
(Primary: On-site, Secondary: Online)
Using Speech Dialogue Agent to Extract User Needs for Service Personalization
Takuya Nakata, Sinan Chen (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Masahide Nakamura (Kobe Univ.) KBSE2022-45
In recent years, there has been a lot of research on service personalization. Although there are many prior studies base... [more] KBSE2022-45
pp.13-18
LOIS, ICM 2023-01-19
17:15
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
Consider Crowdsourcing Support for Automated Minute Taking
Shun Kuroiwa, Kazumu Nakahira, Takahiro Koita (Doshisha Univ.) ICM2022-40 LOIS2022-40
Minutes of meeting requires a huge amount of cost to record all the conversations in a meeting. In recent years,many res... [more] ICM2022-40 LOIS2022-40
pp.54-58
MBE, MICT, IEE-MBE [detail] 2023-01-17
10:40
Saga   Potential problems that will arise for hospital LANs
Eisuke Hanada (Saga Univ.), Takato Kudou (Oita Univ.) MICT2022-46 MBE2022-46
Hospital Information Systems (HIS) have been introduced in almost all large hospitals. In addition to this, IP networks ... [more] MICT2022-46 MBE2022-46
pp.17-21
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
HCGSYMPO
(2nd)
2022-12-14
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
Online Multi-party Voice Call Tool with Easy Switching Between Public and Private Conversations
Naho Tomiki, Wataru Date, Ari Hautasaari, Takeshi Naemura (UTokyo)
Online conferencing tools, both those with which the speaker's voice can be heard uniformly by all meeting participants ... [more]
IN, IA
(Joint)
2022-12-13
11:05
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
Finite State VoIP Traffic Model for Variable Voice Payload Size
Tomoyoshi Waki (Tokyo Tech), Sumiko Miyata (SIT), Yoshiaki Kitaguchi (Tokyo Tech), Ken-ichi Baba (KUTE-TOKYO), Katsunori Yamaoka (Tokyo Tech) IN2022-49
In emergencies, telephone calls provide a sense of security because one hears the other person's voice directly. Calls p... [more] IN2022-49
pp.32-38
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
PRMU 2022-10-21
15:25
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Features and Deep Learning Models Suitable for Speech Source Discrimination Method in Plural Voice User Interfaces Environment
Kengo Maeda, Takahiro Yoshida (TUS) PRMU2022-27
Under the situation that plural devices equipped with a voice user interface exist in the user’s environment in the near... [more] PRMU2022-27
pp.29-34
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
NS, SR, RCS, SeMI, RCC
(Joint)
2022-07-13
14:50
Ishikawa The Kanazawa Theatre + Online
(Primary: On-site, Secondary: Online)
Investigation of noise removal using U-Net and voice recognition performance improvement -- for train running noise --
Jian Lin, Shota Sano, Yuusuke Kawakita, Tsuyoshi Miyazaki, Hiroshi Tanaka (KAIT) SeMI2022-26
A method for converting noisy sound into images to remove the noise has been proposed. We are attempting to remove train... [more] SeMI2022-26
pp.34-39
ICM 2022-07-07
13:25
Hokkaido Tokachi Plaza
(Primary: On-site, Secondary: Online)
A study on Voice Quality Deterioration Monitoring Using OSS for Service Monitoring
Yasuhiro Onozuka, Akihiro Shibata, Yoshitaka Syuntou, Kozo Sakae (DOCOMO Technology) ICM2022-11
In recent years, stable voice calling services have been demanded to the increased use of calls by corporate users. Ther... [more] ICM2022-11
pp.7-10
 Results 21 - 40 of 478 [Previous]  /  [Next]  
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