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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
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 |
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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 |
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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 |
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