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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 84  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2024-03-14
14:00
Kanagawa Kanagawa Institute of Technology
(Primary: On-site, Secondary: Online)
Consideration on divisions and combinations of Learning Data for Speaker Diarization in Multiple Speakers
Kaito Uemura, Keiichi Horio (Kyushu Institute of Technology) SIS2023-48
Today, the importance of a speech segment detection technique called speaker diarization is increasing, mainly in the fi... [more] SIS2023-48
pp.17-20
MIKA
(3rd)
2023-10-11
14:30
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] Voice Recognition AR System Using Edge Computing
Taito Baba, Ryo Midorikawa, Takumi Senaha, Toma Uruizaka, Takuya Asaka (Tokyo Metropolitan Univ.)
People with unilateral hearing loss struggle with sound localization and voice recognition. Additionally, users of noise... [more]
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
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
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
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
SeMI, IPSJ-MBL, IPSJ-DPS, IPSJ-ITS 2021-05-27
09:50
Online Online Investigation and Evaluation Experiment of Noise Removal for Voice Recognition in Specific Noisy Environment
Shota Sano, Fumitaka Murakami, Yuusuke Kawakita, Tsuyoshi Miyazaki, Hiroshi Tanaka (KAIT) SeMI2021-2
In this manuscript, the noise removal performance and speech recognition accuracy is described when noise is removed by ... [more] SeMI2021-2
pp.5-10
MVE, IMQ, IE, CQ
(Joint) [detail]
2021-03-01
11:35
Online Online Examination of voice input and treatment detection by video analysis for endoscopic findings creation support
Chihiro Takigami, Mai Fujie (Chiba Univ.), Yuichiro Yoshimura (Toyama Univ.), Toshiya Nakaguchi (Chiba Univ.) IMQ2020-12 IE2020-52 MVE2020-44
Currently, endoscopy findings are mainly recorded by manual entry after the examination, which is burdensome due to the ... [more] IMQ2020-12 IE2020-52 MVE2020-44
pp.13-16
ICM, LOIS 2021-01-21
15:30
Online Online [Encouragement Talk] Proposal and Usability Testing of the Voice Command System for End-User
Koya Hidetaka, Makoto Komiyama, Akira Kataoka, Haruo Oishi (NTT) ICM2020-41 LOIS2020-29
Voice User Interfaces (VUI) is increasingly being used in a variety of fields due to the dramatic improvement of voice r... [more] ICM2020-41 LOIS2020-29
pp.39-44
WIT, IPSJ-AAC 2020-03-13
15:20
Ibaraki Tsukuba University of Technology
(Cancelled but technical report was issued)
Effects of speech reverberation on location recognition
Yuji Sone, Sawako Nakajima, Kazutaka Mitobe (Akita Univ.) WIT2019-47
In recent years, Internet-related services have evolved greatly, and lots of personal experiences can be recorded and st... [more] WIT2019-47
pp.51-54
SeMI 2020-01-31
09:00
Kagawa   Proposal and Initial Evaluation of Refrigerator Door Identification Method Using Door Opening and Closing Sound
Yudai Mitsukude, Kenta Hayashi, Shigemi Ishida, Yutaka Arakawa, Akira Fukuda (Kyushu Univ.) SeMI2019-115
In recent years, the development of sensing technology has enabled sensing in various situations.IoT products have been ... [more] SeMI2019-115
pp.63-68
HCS 2020-01-26
16:40
Oita Room407, J:COM HorutoHall OITA (Oita) Children's emotion recognition based on vocal cues -- A review of the literature on vocal emotion recognition --
Naomi Watanabe, Tessei Kobayashi (NTT) HCS2019-82
(To be available after the conference date) [more] HCS2019-82
pp.163-166
HCGSYMPO
(2nd)
2019-12-11
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) Crosslingual Emotion Recognition using English and Japanese Speech Data
Yuta Nirasawa, Atom Scotto, Ryota Sakuma, Yuki Hujita, Keiich Zempo (Tsukuba Univ.)
Since reasearch in Speech Emotion Recognition(SER) is performed with mostly English data, applying these models to Japan... [more]
HCGSYMPO
(2nd)
2019-12-11
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) English-use support system using multimodal interface
Kaito Aoki, Fumihiko Ishida (NIT, Toyama Col.)
In recent years, we frequently use English due to globalization. In actual English communication, even if you study Engl... [more]
SRW, SeMI, CNR
(Joint)
2019-11-05
16:10
Tokyo Kozo Keisaku Engineering Inc. [Invited Talk] Robot AI Platform x "unibo"
Toshikazu Kanaoka (Fujitsu)
Fujitsu developed "robot AI platform" as a service platform providing natural communication between people and robots. T... [more]
KBSE 2019-03-02
12:30
Kyoto Doshisha University Kambaikan Toward Automatic Generation of Meeting Minutes by Visualization of Voice Information
Yusuke Nakamura, Takeshi Nakase, Satoshi Yajima, Yutaka Matsuno (Nihon Univ.) KBSE2018-54
Today, the minutes at meetings in organizations such as companies are important. However, it is impossible to see the mi... [more] KBSE2018-54
pp.1-5
NLC, IPSJ-IFAT 2019-02-07
15:30
Kyoto Ryukoku University Omiya Campus [Invited Talk] ForeSight Voice Mining, a voice mining system for contact centers
Kazuhiro Arai (NTT-TX) NLC2018-40
This paper describes ForeSight Voice Mining that NTT TechnoCross Corp. provides for contact centers. ForeSight Voice Min... [more] NLC2018-40
pp.27-32
HCGSYMPO
(2nd)

Mie Sinfonia Technology Hibiki Hall Ise Mood Improvement by Multiple Personality Assistant Agent in Speech Recognition Failure
Takehiro Hondo, Ippei Naganuma, Kazuki Kobayashi (Shinshu Univ.)
This paper proposes a method to create a mood in a human agent speech interaction and investigates the created mood by a... [more]
SIS, ITE-BCT 2018-10-25
15:40
Kyoto Kyoto University Clock Tower Centennial Hall [Tutorial Lecture] Development and Application of Voice User Interface for Device Operation with High Usability
Noboru Hayasaka (OECU) SIS2018-15
A speech recognition framework in smart speakers and smart phones require a network connection, which increases the burd... [more] SIS2018-15
pp.57-62
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
10:25
Okinawa   Non-parallel and Many-to-Many Voice Conversion Using Variational Autoencoder Conditioned by Phonetic Posteriorgrams and d-vectors
Yuki Saito (NTT/Univ. of Tokyo), Yusuke Ijima, Kyosuke Nishida (NTT), Shinnosuke Takamichi (Univ. of Tokyo) EA2017-105 SIP2017-114 SP2017-88
This paper proposes novel frameworks for non-parallel and many-to-many voice conversion (VC) using variational autoencod... [more] EA2017-105 SIP2017-114 SP2017-88
pp.21-26
 Results 1 - 20 of 84  /  [Next]  
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