Rchr

J-GLOBAL ID：201101026514537122 Update date: Sep. 24, 2024

Fujimoto Masakiyo

Fujimoto Masakiyo

Affiliation and department：
Job title： Reseracher
Homepage URL (1)： http://ast-astrec.nict.go.jp/aboutus/member/fujimoto/index-j.html

Research field (3)： Intelligent robotics , Perceptual information processing , Intelligent informatics

Research keywords (6)：マルチモーダル , 音声言語情報処理 , 統計的信号処理 , 耐雑音音声認識 , 音声認識 , 音声信号処理

Papers (82)：

Tomoko Kawase, Kenta Niwa, Masakiyo Fujimoto, Kazunori Kobayashi, Shoko Araki, Tomohiro Nakatani. Integration of Spatial Cue-Based Noise Reduction and Speech Model-Based Source Restoration for Real Time Speech Enhancement. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES. 2017. E100A. 5. 1127-1136
Masakiyo Fujimoto, Tomohiro Nakatani. Multi-pass feature enhancement based on generative-discriminative hybrid approach for noise robust speech recognition. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2016. 2016-. 5750-5754
Hendrik Mentzner, Shoko Araki, Masakiyo Fujimoto, Totohiro Nakatani. A GENERATIVE-DISCRIMINATIVE HYBRID APPROACH TO MULTI-CHANNEL NOISE REDUCTION FOR ROBUST AUTOMATIC SPEECH RECOGNITION. 2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS. 2016. 5740-5744
Shoko Araki, Masakiyo Fujimoto, Takuya Yoshioka, Marc Delcroix, Miquel Espi, Tomohiro Nakatani. Deep learning based distant-talking speech processing in real-world sound environments. NTT Technical Review. 2015. 13. 11
Miquel Espi, Masakiyo Fujimoto, Tomohiro Nakatani. Acoustic Event Detection in Speech Overlapping Scenarios Based on High-Resolution Spectral Input and Deep Learning. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS. 2015. E98D. 10. 1799-1807

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MISC (127)：

荒木章子, 藤本雅清, 吉岡拓也. ディープラーニングを用いた実環境における遠隔発話音声処理 (特集未来への羅針盤としてのコミュニケーション科学). NTT技術ジャーナル. 2015. 27. 9. 17-20
Aspects of Feature Extraction in DNN Acoustic Models. 2015. 115. 146. 61-65
Speech enhancement and recognition for reverberant speech: overview of the NTT REVERB challenge system. IPSJ SIG Notes. 2014. 2014. 5. 1-4
ESPI Miquel, FUJIMOTO Masakiyo, KUBO Yotaro, NAKATANI Tomohiro. A spectrogram-patch-input DNN model for detection and classification of acoustic events in speech overlapping scenarios. IEICE technical report. Speech. 2014. 114. 52. 171-176
A spectrogram-patch-input DNN model for detection and classification of acoustic events in speech overlapping scenarios. 2014. 2014. 35. 1-6

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Professional career (1)：

Dr. Eng.

Work history (6)：

2016/04 - 現在 National Institute of Information and Communications Technology
2013/07 - 2016/03 日本電信電話(株) NTTコミュニケーション科学基礎研究所
2008/01 - 2013/06 日本電信電話(株) NTTコミュニケーション科学基礎研究所研究員
2006/04 - 2007/12 日本電信電話(株) NTTコミュニケーション科学基礎研究所リサーチアソシエイト
2005/04 - 2006/03 (株)国際電気通信基礎技術研究所音声言語コミュニケーション研究所研究員

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Awards (5)：

2015/12 - IEEE ASRU '15 Best Paper Award Honorable Mention
2011/06 - 電子情報通信学会平成23年度ISS査読功労賞
2011/03 - 情報処理学会平成22年度山下記念研究賞
2008/11 - 電子情報通信学会 MVE研究会 MVE賞
2003/03 - 日本音響学会第20回粟屋潔学術奨励賞

Association Membership(s) (5)：

日本音響学会 , 情報処理学会 , 電子情報通信学会 , ISCA , IEEE

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