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Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, EA, SP, MI
(Joint) [detail]		 2018-03-20
09:00		 Okinawa   [Poster Presentation] Performance evaluation of unknown sound clustering for indoor-environmental sound classification based on self-generated acoustic model
Sakiko Mishima, Yukoh Wakabayashi, Takahiro Fukumori, Keisuke Imoto, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2017-152 SIP2017-161 SP2017-135		 Indoor-environmental sound classification is useful for surveillance systems which monitor the situations in the dark an... [more] EA2017-152 SIP2017-161 SP2017-135
pp.277-280
SP, SIP, EA 2017-03-01
12:40		 Okinawa Okinawa Industry Support Center [Poster Presentation] Indoor-environmental sound identification based on deep neural network with higher-dimensional features
Sakiko Mishima, Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2016-87 SIP2016-142 SP2016-82		 Surveillance systems with a video camera have been utilized for the safety of people. It is important to identify the in... [more] EA2016-87 SIP2016-142 SP2016-82
pp.31-36
EA, SP, SIP 2016-03-29
09:00		 Oita Beppu International Convention Center B-ConPlaza [Poster Presentation] A Study of Indoor-environmental Sound Discrimination Based on Deep Neural Network with Mel-cepstrum
Sakiko Mishima, Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan University) EA2015-121 SIP2015-170 SP2015-149		 Surveillance systems with a video camera have been utilized for the safety of people. Environmental sound discrimination... [more] EA2015-121 SIP2015-170 SP2015-149
pp.305-310
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