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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] 2022-11-30
15:30
Tokyo
(Primary: On-site, Secondary: Online)
Semi-supervised joint training of text to speech and automatic speech recognition using unpaired text data
Naoki Makishima, Satoshi Suzuki, Atsushi Ando, Ryo Masumura (NTT) NLC2022-14 SP2022-34
This paper presents a novel joint training of text to speech (TTS) and automatic speech recognition (ASR) with small amo... [more] NLC2022-14 SP2022-34
pp.27-32
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-23
11:45
Online Online Adversarial Training with Knowledge Distillation considering Intermediate Feature Representation in CNNs
Hikaru Higuchi (The Univ. of Electro-Communications), Satoshi Suzuki (former NTT), Hayaru Shouno (The Univ. of Electro-Communications) NC2021-44
Adversarial examples are one of the vulnerability attacks to the convolution neural network (CNN). The adversarialexampl... [more] NC2021-44
pp.59-64
IE 2019-06-21
13:30
Okinawa   An image pre-transformation method to suppress recognition errors in highly compressed images
Satoshi Suzuki, Motohiro Takagi, Kazuya Hayase, Takayuki Onishi, Atsushi Shimizu (NTT) IE2019-18
In image recognition, it is desirable to input an original image because image distortion leads to lower accuracy.
Howe... [more]
IE2019-18
pp.7-12
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-05
16:15
Toyama   The Validity of Network In Network as a Visual System -- From the Point of View of the Orientation Selectivity Map --
Satoshi Suzuki, Hayaru Shouno (UEC) PRMU2016-68 IBISML2016-23
In recent years, Deep Convolutional Neural Network (DCNN) has shown excellent performance in image recognition field. DC... [more] PRMU2016-68 IBISML2016-23
pp.113-120
NC, MBE 2015-03-16
10:55
Tokyo Tamagawa University Feature Analysis for Diffuse Lung Disease with Deep Convolutional Neural Network
Satoshi Suzuki, Hayaru Shouno (UEC), Shoji Kido (Yamaguchi Univ.) MBE2014-163 NC2014-114
The computer aided diagnosis (CAD) system is desired to develop for supporing physicians to diagnose the diffuse lung di... [more] MBE2014-163 NC2014-114
pp.259-264
 Results 1 - 5 of 5  /   
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