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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 22  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HCS 2023-01-22
16:00
Kyoto Kyoto Institute of Technology
(Primary: On-site, Secondary: Online)
Decoding of average ERPs during silent Japanese words by attention-based RNN with encoder-decoder
Toshimasa Yamazaki, Yuko Tokunaga, Chieko Ito (KIT) HCS2022-74
This study attempted to decode average event-related potentials (ERPs) during silent Japanese words by attention-based r... [more] HCS2022-74
pp.108-111
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
11:25
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A speech synthesis from electromyography using CNN
Kiyotaka Miyasaka, Yuji sakamoto (Hokkaido Univ.)
Speech communication can provide various expressions intuitively. However, when communicate with aphonic people or in no... [more]
WIT, SP 2019-10-27
10:30
Kagoshima Daiichi Institute of Technology A Method to Reduce Ambiguity in Identifying the Muscle Activation Time of Each EMG Channel in Isolated Inaudible Single Syllable Recognition
Hidetoshi Nagai (KIT) SP2019-32 WIT2019-31
In inaudible speech recognition using surface EMG, consonant recognition is one of the difficult problems. When phonemes... [more] SP2019-32 WIT2019-31
pp.87-92
WIT 2018-06-09
15:30
Kanagawa   Identification of Tongue Motion and Silent Vowel based on EMG
Tadahiro Oyama (KCCT), Taisei Watanabe (NAIST) WIT2018-4
In this paper, we propose a method to estimate the tongue motion direction and silent speech based on convolutional neur... [more] WIT2018-4
pp.17-20
MBE, NC
(Joint)
2018-03-14
13:10
Tokyo Kikai-Shinko-Kaikan Bldg. Silent Japanese Single Syllable Recognition using Similarities of Muscular Activity Transitions between EMG Channels
Hidetoshi Nagai (Kyutech) MBE2017-104
In inaudible speech recognition based on surface EMG, recognition of consonants is one of the important tasks. When utte... [more] MBE2017-104
pp.119-124
WIT, SP 2017-10-20
09:30
Fukuoka Tobata Library of Kyutech (Kitakyushu) [Invited Talk] Research Trends in Silent Speech Recognition -- Focusing on Lip Reading --
Takeshi Saitoh (Kyutech) SP2017-48 WIT2017-44
Silent speech recognition is a technique for understanding speech content without using audio information. There are var... [more] SP2017-48 WIT2017-44
pp.77-81
SANE 2017-05-22
10:05
Tokyo Kikai-Shinko-Kaikan Bldg. Silent Radar
Makoto Koike (Micro Patent) SANE2017-2
Microwave radar and spread spectrum communication were developed around the age of WWII. However, the origin of spread ... [more] SANE2017-2
pp.7-12
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
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
HCGSYMPO
(2nd)
2015-12-16
- 2015-12-18
Toyama Toyama International Conference Center Silent Speech BCI -- An investigation for practical problems --
Shun Hirose (KIT), Hiromi Yamaguchi (NEC), Takashi Ito, Toshimasa Yamazaki (KIT), Shinichi Fukuzumi (NEC), Takahiro Yamanoi (Hokkai Gakuen Univ.)
We have developed single-trial-EEG-based silent speech BCI (SSBCI) using speech signals. Our algorithm consisted of (1) ... [more]
EA, EMM 2015-11-12
17:00
Kumamoto Kumamoto Univ. Noise suppression method for body-conducted soft speech based on external noise monitoring
Yusuke Tajiri (NAIST), Tomoki Toda (Nagoya Univ.), Satoshi Nakamura (NAIST) EA2015-31 EMM2015-52
As one of the silent speech interfaces, nonaudible murmur (NAM) microphone has been developed for detecting an extremely... [more] EA2015-31 EMM2015-52
pp.41-46
WIT, SP, ASJ-H, PRMU 2015-06-18
14:25
Niigata   Non-Audible Murmur Enhancement Method using Air- and Body-Conductive Microphones in Noisy Environments and its Evaluation
Yusuke Tajiri, Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) PRMU2015-42 SP2015-11 WIT2015-11
As one of the silent speech interfaces, Non-Audible Murmur (NAM) microphone which can detect an extremely soft whispered... [more] PRMU2015-42 SP2015-11 WIT2015-11
pp.59-64
HCS, HIP, HI-SIGCOASTER [detail] 2015-05-20
14:50
Okinawa Okinawa Industry Support Center Continuous Inaudible Vowels Recognition Using Peaks of Lip Shape Transition based on Surface EMG
Nao Kurogi, Hidetoshi Nagai, Teigo Nakamura (Kyutech) HCS2015-37 HIP2015-37
We research on inaudible speech recognition with surface EMGs. On a natural speech, we can't expect stability of charact... [more] HCS2015-37 HIP2015-37
pp.243-248
HCS, HIP, HI-SIGCOASTER [detail] 2015-05-20
15:15
Okinawa Okinawa Industry Support Center A Method to Detect Inaudible Phoneme Boundary based on Transition of Wavelets' Center-of-Balance and its Application to Inaudible Continuous Speech Recognition
Hidetoshi Nagai, Saki Kanaida, Teigo Nakamura (Kyutech) HCS2015-38 HIP2015-38
We research on inaudible speech recognition with surface EMG. On a natural speech, a speaker changes his mouth shape con... [more] HCS2015-38 HIP2015-38
pp.249-254
NC, MBE 2015-03-17
09:55
Tokyo Tamagawa University Silent Season BCI -- Performance of HMM --
Takashi Ito, Hiromi Yamaguchi (KIT), Ayaka Yamaguchi (Hitachi systems), Toshimasa Yamazaki (KIT), Shin'ichi Fukuzumi (NEC), Takahiro Yamanoi (Hokkaido Gakuen University) MBE2014-130 NC2014-81
The purpose of this study is to generalize our previous SSBCI (Silent Speech Brain-Computer Interface) study proposed in... [more] MBE2014-130 NC2014-81
pp.81-84
SP 2014-11-14
11:20
Fukuoka Kyushu Univ. Chikushi Campus An evaluation of target speech for nonaudible murmur enhancement focusing on its intelligibility under noisy environments
Sakura Tsuruta, Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2014-102
Nonaudible murmur (NAM) is a soft whispered voice recorded with a NAM microphone through body conduction. NAM is effecti... [more] SP2014-102
pp.71-76
MBE 2014-06-13
14:20
Hokkaido Hokkaido Univerisity A Method to Detect Candidates of Phoneme Boundary in Inaudible Consonant Based on Surface EMG
Saki Kanaida, Hidetoshi Nagai, Teigo Nakamura (KIT) MBE2014-22
We research on inaudible speech recognition with surface EMGs around the lip and neck of a speaker. In out previous work... [more] MBE2014-22
pp.45-50
EMM 2014-05-16
11:15
Tokyo   [Tutorial Lecture] Lip reading
Takeshi Saitoh (Kyutech) EMM2014-6
Lip reading is a technique of understanding speech content by visually acquiring the movements of the lips. This technol... [more] EMM2014-6
pp.29-34
NC, MBE
(Joint)
2014-03-18
15:00
Tokyo Tamagawa University Silent Speech BCI -- Generalization to consonant recognition --
Hiromi Yamaguchi, Ayaka Yamaguchi, Toshimasa Yamazaki (Kyushu Inst. of Tech.), Shin'ichi Fukuzumi (NEC) MBE2013-144
This study will address itself to a generalization of our previous SSBCI (silent speech Brain-Computer Interface), which... [more] MBE2013-144
pp.163-166
HCGSYMPO
(2nd)
2012-12-10
- 2012-12-12
Kumamoto Kumamoto-Shintoshin-plaza A Method to Detect Changes of Muscle Activity Using Difference Transition Based on Center-of-Balance Transition Method for Inaudible Speech Recognition
Hidetoshi Nagai, Saki Kanaida, Kazushi Miyatake, Teigo Nakamura (Kyushu Inst. of Tech.)
We research on inaudible speech recognition with surface EMGs at around a speaker's lip and neck. When a person speaks n... [more]
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