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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, US
(Joint)
2023-12-22
15:20
Fukuoka   [Poster Presentation] Observation of the Lombard effect during listening to daily life noise
Takashi Kido, Masanori Akita (Oita Univ.) EA2023-54
The Lombard effect is a phenomenon in which people naturally raise their voices in relatively noisy environments, which ... [more] EA2023-54
pp.33-36
EMM, EA, ASJ-H 2023-11-24
10:30
Toyama   [Invited Talk] **
(**) EA2023-48 EMM2023-79
(To be available after the conference date) [more] EA2023-48 EMM2023-79
pp.109-112
EA, US
(Joint)
2022-12-23
09:50
Hiroshima Satellite Campus Hiroshima Lombard effect of Japanese vowel pronunciation by a change in the wearing form of the face mask
Masanori Akita, Takashi Kido, Erika Matsuda, Yoichi Midorikawa (Oita Univ.) EA2022-71
The wearing of the mask is forced in society under the COVID-19 environment, it is thought that this situation continues... [more] EA2022-71
pp.61-65
EA, US
(Joint)
2021-12-23
10:20
Kumamoto Sojo University Influential observation to Japanese vowel pronunciation by a change in the wearing form of the face mask
Masanori Akita, Takashi Kido, Shinya Ohsaubo, Yoichi Midorikawa (Oita Univ.) EA2021-62
Wear of a mask is forced by society under COVID-19 environment. Its material and a wear way are a serious problem. In o... [more] EA2021-62
pp.32-35
EA 2020-12-14
13:50
Online Online The measurement of the influence to pronunciation of Japanese vowels by the face mask
Masanori Akita, Haruka Kudo, Satoshi Ito, Yoichi Midorikawa (Oita Univ.) EA2020-54
Wearing the mask is encouraged by WHO, because there are no effective medical methods to COVID-19. Wear of the mask is f... [more] EA2020-54
pp.50-55
EA 2019-12-13
10:55
Fukuoka Kyushu Inst. Tech. Detection of individuality of the Lombard effect in case of hearing colored noise
Satoshi Ito, Ayane Kitazato, Yoichi Midorikawa, Masanori Akita (Oita Univ) EA2019-75
The relation between the Lombard effect and the detection of human feelings is tested in our laboratory. This method in ... [more] EA2019-75
pp.65-70
EA 2018-02-15
14:30
Hiroshima Pref. Univ. Hiroshima The influence that a quality change of the steady noise environment gives for Lombard effect
Wataru Saito, Masanori Akita, Yoichi Midorikawa (Oita Univ.) EA2017-93
We measured the shift of the formant frequencies of Japanese 5 vowels under the noisy environment to detect the quantity... [more] EA2017-93
pp.1-6
EA, SP, SIP 2016-03-28
13:15
Oita Beppu International Convention Center B-ConPlaza [Poster Presentation] Lombard effects on speech annoyance and speech intelligibility in noisy environments
Rieko Kubo, Daisuke Morikawa, Masato Akagi (JAIST) EA2015-82 SIP2015-131 SP2015-110
Speech signal modification to increase intelligibility in noisy environments may bring about annoyance in a quieter envi... [more] EA2015-82 SIP2015-131 SP2015-110
pp.93-98
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
EA, EMM 2012-11-16
09:30
Oita OITA Univ. Recognition of Lombard speech using the emphasis of the local peaks of spectral envelopes and frequency warping method
Yugo Sato, Yoichi Midorikawa, Masanori Akita (Oita Univ) EA2012-81 EMM2012-63
Under the noise environment, we speak loud voice unconsciously because the auditory feedback is not enough by noise. In ... [more] EA2012-81 EMM2012-63
pp.1-6
SP, EA, SIP 2010-05-26
13:00
Hyogo Konan Univ. (Hirao Seminar House) Improvement of speech recognition performance based on the conversion of Lombard features
Yuji Uemura, Masanori Morise, Takanobu Nishiura (Ritsumeikan Univ.) EA2010-1 SIP2010-1 SP2010-1
The automatic speech recognition (ASR) under noisy environments is focused as one of the challenging topics. Especially,... [more] EA2010-1 SIP2010-1 SP2010-1
pp.1-6
 Results 1 - 11 of 11  /   
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