IEEE Signal Processing Society (SPS) Tokyo Joint Chapter
[主催行事]
[共催行事]
[協賛行事]
[表彰]
[役員]
[English]
新着情報
- 第5回 IEEE Signal Processing Society (SPS) Japan Young Author Best Paper Awardは、選考の結果、以下の論文に受賞が決定しました（太字が受賞者）。おめでとうございます！
- T. Hayashi, S. Watanabe, T. Toda, T. Hori, J. Le Roux, K. Takeda, "Duration-controlled LSTM for polyphonic sound event detection," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, No. 11, pp. 2059-2070.
- Ryosuke Furuta, Naoto Inoue, and Toshihiko Yamasaki, "PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing," IEEE Transactions on Multimedia, vol. 22, no. 7, pp. 1704-1719, 2020.
- Y. Koizumi, S. Saito, H. Uematsu, Y. Kawachi, and N. Harada, "Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman-Pearson Lemma," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 1, pp. 212-224, 2019.
- 第14回 IEEE Signal Processing Society (SPS) Japan Student Journal Paper AwardおよびIEEE Signal Processing Society (SPS) Japan Student Conference Paper Awardは、選考の結果、以下の論文に受賞が決定しました（太字が受賞者）。おめでとうございます！
- Journal部門 ("IEEE SPS Japan Student Journal Paper Award")
- T. Chuman, W. Sirichotedumrong, and H. Kiya, "Encryption-then-compression systems using grayscale-based image encryption for JPEG images," IEEE Transactions on Information Forensics and Security, vol. 14, no. 6, pp. 1515-1525, 2019.
- R. Eguchi, A. Yorozu, T. Fukumoto, and M. Takahashi, "Estimation of Vertical Ground Reaction Force Using Low-Cost Insole With Force Plate-Free Learning From Single Leg Stance and Walking." IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 5, pp. 1276-1283, 2020.
- N. Ueno, S. Koyama, and H. Saruwatari, "Three-dimensional sound field reproduction based on weighted mode-matching method," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 12, pp.1852-1867, 2019.
- Conference部門 ("IEEE SPS Japan Student Conference Paper Award")
- Y. Masuyama, K. Yatabe, Y. Koizumi, Y. Oikawa, and N. Harada, "Deep Griffin-Lim Iteration," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.
- L. Li, H. Kameoka, and S. Makino, "Fast MVAE: Joint separation and classification of mixed sources based on multichannel variational autoencoder with auxiliary classifier," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.
- H. Inaguma, Y. Gaur, L. Lu, J. Li, and Y. Gong, "Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
- 第4回IEEE Signal Processing Society (SPS) Tokyo Joint Chapter Student Awardは、選考の結果、以下の論文に受賞が決定しました（太字が受賞者）。おめでとうございます！
- 加茂 佳吾, 久保 優騎, 高宗 典玄, 北村 大地, 猿渡 洋, 高橋 祐, 近藤 多伸， "一般化Gauss分布に基づく同時対角化制約付き多チャネルNMFを用いたブラインド音源分離," 電子情報通信学会 応用音響研究会, 2020, pp. 13-19
- 山岡 洸瑛, シャイブラー ロビン, 小野 順貴, 若林 佑幸, "補助関数法に基づくサブサンプル時間差推定," 第34回信号処理シンポジウム, 2019
- 原惇也, 田中雄一, "Stochastic prior を用いた一般化グラフサンプリング," 第34回 信号処理シンポジウム, 2019
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講演会
講演者：Dr. Zhuo Chen (Microsoft Could & AI)
日時：2020年12月17日(木) 15:00～16:30
会場：オンライン開催（CISCO WebEXを用いたビデオ会議形式）：このリンクから参加登録してください
講演題目：Speech Recognition and Diarization for Unsegmented Multi-talker Recordings with Speaker Overlaps
言語：英語
講演概要
As a natural phenomenon often observed in conversation, overlapped speech significantly degrades the performance of speech recognition and diarization. This has long hindered wider use of automatic speech recognition technologies in our daily lives. To tackle this problem, in recent years, drastic progress has been made in overlapped speech processing, starting from toy examples towards realistic conversation recordings. In particular, this research topic was extensively studied at this year's Jelinek summer workshop organized by Johns Hopkins University, where researchers world-widely gathered virtually for about 7 weeks, and extensively exchanged ideas on the current state-of-the-art and the new directions. In this talk, I will give a refreshed perspective of the problem, including its problem definition, background, challenges and recent trends observed from the workshop. Then I will give an in-depth introduction on recent technological advances brought by our Microsoft speech team, including the speech separation algorithms for long recording processing and its integration with real world conversation transcription systems. Lastly, I will introduce several recent attempts in modeling the long span overlapped speech in an end to end fashion. -
Distinguished Lecturer講演会
講演者：Prof. Andrea Cavallaro (Queen Mary University of London, UK)
日時：2020年12月10日（木）18:00～19:00
会場：オンライン開催（Zoomウェビナーを用いたビデオ会議形式）：このリンクから参加登録してください
講演題目：Adversarial attacks on image classifiers
言語：英語
講演概要
Images we share online reveal information about personal choices and preferences, which can be inferred by classifiers. To prevent privacy violations and to protect the visual content from unwanted automatic inferences, I discuss how to exploit the vulnerability of classifiers to adversarial attacks to craft perturbations that maintain (and even improve) image quality. As adversarial perturbations designed to protect visual content against classifiers may be ineffective against classifiers that were not seen during the generation of the perturbation or against defences that use re-quantization or image compression, I will discuss how to craft perturbations based on randomised ensembles to make them robust to defences, on image semantics to selectively modify colours within chosen ranges that are perceived as natural by humans, and on perturbations that enhance image details. -
Distinguished Industrial Speaker講演会
講演者：Dr. Akihiko Sugiyama (IEEE Fellow, Yahoo! Japan)
日時：2020年11月27日（金）15:00～17:00
会場：オンライン開催（CISCO WebEXを用いたビデオ会議形式）：このリンクから参加登録してください
講演題目：Signal Enhancement in Consumer Products
言語：日本語
講演概要
This lecture presents the A to Z of signal enhancement when it is applied to consumer products such as cellphone handsets, digital still cameras and camcorders, PCs and tablet computers, TV receivers, and gaming controllers. Starting from basic single channel signal enhancement in the frequency domain, it continues on to two-channel processing and multi-channel processing also known as microphone arrays. Types of noise to be covered include environmental noise, mechanical noise, impact (or transient) noise and wind noise. Problems and solutions that include recent topics are discussed for each application from a viewpoint of the algorithm and implementation. Sound demonstrations will be provided to help audience understand the effect of solutions.
活動内容
主催
- 講演会
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Distinguished Industrial Speaker講演会
講演者：Dr. Akihiko Sugiyama (IEEE Fellow, Yahoo! Japan)
日時：2020年11月27日（金）15:00～17:00
会場：オンライン開催（CISCO WebEXを用いたビデオ会議形式）：このリンクから参加登録してください
講演題目：Signal Enhancement in Consumer Products
- 国際会議・シンポジウム・ワークショップ
- 研究会
- その他
共催
- 講演会
- 国際会議・シンポジウム・ワークショップ
- 研究会
- その他
協賛
- 講演会
- 国際会議・シンポジウム・ワークショップ
-
第35回信号処理シンポジウム (協賛)
(2020年11月4日-6日; 高知会館（オンラインでの開催を検討中）) -
The 52nd ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS '20) (協賛)
(2020年10月29日-30日; Osaka University Convention Center) -
第33回 回路とシステムワークショップ (協賛)
(2020年8月20日; オンライン) - 研究会
- その他
共催、協賛などのご相談はSecretaryまでメールにてお願い致します．
表彰
- IEEE SPS Japan Young Author Best Paper Award
投稿時に40歳未満のIEEE SPS会員が筆頭著者である，IEEE SPSに関連する論文誌や国際会議で発表された論文が対象
第5回Young Author Best Paper Awardの候補者を募集しています． - IEEE SPS Japan Student Journal Paper Award
IEEE SPS Japan Student Conference Paper Award
投稿時に学生であるIEEE SPS会員が筆頭著者である，IEEE SPSに関連する論文誌や国際会議で発表された論文が対象
第14回Student Journal Paper AwardとStudent Conference Paper Awardの候補者を募集しています． - IEEE SPS Tokyo Joint Chapter Student Award
投稿時に学生であるIEEE SPS Tokyo Joint Chapter所属会員が筆頭著者である，日本国内の信号処理関連の学会で発表された査読無し発表論文が対象
第4回Tokyo Joint Chapter Student Awardの候補者を募集しています． - IEEE SPS Japan Student Demonstration Award
IEEE SPSの学生会員が筆頭著者である，DSPS教育会議で発表されたデモンストレーション発表が対象 (現在は募集していません）
お問い合わせはSecretaryまでメールにてお願い致します．
リンク
役員
- Chair: 篠田 浩一 (Shinoda, Koichi)
東京工業大学 - Vice Chair: 小野 順貴 (Nobutaka, Ono)
東京都立大学 - Secretary: 鷲沢 嘉一 (Washizawa, Yoshikazu)
電気通信大学 - Treasurer: 小山 翔一 (Koyama, Shoichi)
東京大学