Result for "multi modal signal processing",24

スライド 1

change their response. Tsubasa Ochiai Email: cs-openhouse-ml@hco.ntt.co.jp Signal Processing Research

https://www.rd.ntt/cs/event/openhouse/2020/download/c_17_en.pdf

monoica.dvi

- termines the source reconstruction error. If the prior is strongly multi-modal source reconstruction is

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0170.pdf

Speech information processing | NTT R&D Website

processing technology handles speech as signal data for analysis and processing, such as recognition and

https://www.rd.ntt/e/hil/category/voice/

Seishi Takamura | NTT R&D Website

/Video Coding, multi-modal signal processing, data compression, data organization Related Contents

https://www.rd.ntt/e/organization/researcher/superior/s_008.html

音声情報処理 | NTT R&D Website

リスト 2023 2022 2021 2020 2019 2023 論文 Hiroshi Sato, Yusuke Shinohara, Atsunori Ogawa, "Multi-modal

https://www.rd.ntt/hil/category/voice/

芝原 光樹 | NTT R&D Website

, Doohwan Lee, and Yutaka Miyamoto, "Advanced MIMO Signal Processing Techniques Enabling Long-Haul Dense SDM

https://www.rd.ntt/organization/researcher/special/s_070.html

Recognition Research Group | NTT Communication Science Laboratories | NTT R&D Website

fusing multi-layer features of pre-trained model. in Proc. European Signal Processing Conference (EUSIPCO

https://www.rd.ntt/e/cs/team_project/media/recognition/

Respond to Any Requests without Expecting Something in Return to Build a Trust Relationship with Others｜NTT R&D Website

compression ratio at the same time. I’m also investigating multi-modal data compression. The information

https://www.rd.ntt/e/research/JN202102_10402.html

Signal Processing Research Group | NTT Communication Science Laboratories | NTT R&D Website

Signal Processing Research Group | NTT Communication Science Laboratories | NTT R&D Website NTT R

https://www.rd.ntt/e/cs/team_project/media/signal/

信号処理研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

Boeddeker & Tsubasa Ochiai (2024). Microphone Array Signal Processing and Deep Learning for Speech

https://www.rd.ntt/cs/team_project/media/signal/

ica03-2.dvi

extract independent objects from complex multi-modal scenes. The main ad- vantage of our approach is that

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0060.pdf

メディア情報研究部　過去のニュース｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

pose representation for multi-modal active sensing」が、画像の認識・理解シンポジウム (MIRU2025) においてMIRU優秀論文賞を受賞

https://www.rd.ntt/cs/team_project/media/past_news.html

メディア認識研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

Conference on Acoustics, Speech and Signal Processing (ICASSP). Seoul, Korea. Takuhiro kaneko (2024

https://www.rd.ntt/cs/team_project/media/recognition/

0004.pdf

source, causing multi-modal noise distribution. Never- theless, for simplicity, we assume (like Huang et

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0004.pdf

NTT Communication Science Laboratories Open House 2018

acoustic signal processing, media processing, natural language processing, and machine learning. In human

https://www.rd.ntt/cs/event/openhouse/2018/talk/director/index_en.html

知能創発環境研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2025. Hiroshi Sawada, Kazuo

https://www.rd.ntt/cs/team_project/icl/ls/

Learning and Intelligent Systems Research Group | NTT Communication Science Laboratories | NTT R&D Website

International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2025. Hiroshi Sawada, Kazuo

https://www.rd.ntt/e/cs/team_project/icl/ls/

ica2003.dvi

heterogeneous multi- modal data. The objectives of multimedia research are multiple, which can be exemplified by

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0214.pdf

Communication Science that Adapts to the Changing Present and Creates a Sustainable Future-Aiming to Create Technology that Brings Harmony and Symbiosis among People, Society, and the Environment | NTT R&D Website

surpassing human abilities including media-information processing enabling computers to have the same

https://www.rd.ntt/e/research/JN202208_19139.html

Creating Bio-digital Twins by Using Crossmodal Representation Learning | NTT R&D Website

concerned with creating new basic technologies for machine learning, signal processing, and pattern

https://www.rd.ntt/e/research/JN202407_27025.html