Nugraha Aditya Arie

ヌグラハアディティヤアリ | Nugraha Aditya Arie

Affiliation and department：
Job title： Research Scientist
Homepage URL (1)： https://aanugraha.github.io/

Research field (2)： Perceptual information processing , Intelligent informatics

Research keywords (5)： Audio-visual information processing , Audio source separation , Speech enhancement , Machine learning , Deep neural network

Papers (41)：

Aditya Arie Nugraha, Diego Di Carlo, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii. Time-Domain Audio Source Separation Based on Gaussian Processes with Deep Kernel Learning. 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). 2023
Aditya Arie Nugraha, Diego Di Carlo, Yoshiaki Bando, Mathieu Fontaine 0002, Kazuyoshi Yoshii. Time-Domain Audio Source Separation Based on Gaussian Processes with Deep Kernel Learning. WASPAA. 2023. 1-5
Yoshiaki Bando, Yoshiki Masuyama, Aditya Arie Nugraha, Kazuyoshi Yoshii. Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation. CoRR. 2023. abs/2306.10240
Diego Di Carlo, Aditya Arie Nugraha, Mathieu Fontaine 0002, Yoshiaki Bando, Kazuyoshi Yoshii. Neural Steerer: Novel Steering Vector Synthesis with a Causal Neural Field over Frequency and Source Positions. CoRR. 2023. abs/2305.04447
Kouhei Sekiguchi, Aditya Arie Nugraha, Yicheng Du, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii. Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2022

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MISC (2)：

須村, 允亮, 關口, 航平, 坂東, 宜昭, Aditya, Arie Nugraha, Yicheng, Du, 吉井, 和佳. 室内環境理解のための分散型カメラ付きマイクアレイの位置推定・同期. 第84回全国大会講演論文集. 2022. 2022. 1. 339-340
Yicheng, Du, 關口, 航平, 坂東, 宜昭, Aditya, Arie Nugraha, 吉井, 和佳. 話者・音素特徴に基づくマルチチャネル音声分離. 第82回全国大会講演論文集. 2020. 2020. 1. 193-194

Lectures and oral presentations (5)：

DNN-Free Low-Latency Adaptive Speech Enhancement Based on Frame-Online Beamforming Powered by Block-Online FastMNMF
(International Workshop on Acoustic Signal Enhancement (IWAENC) 2022)
Flow-Based Fast Multichannel Nonnegative Matrix Factorization for Blind Source Separation
(IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022)
Unsupervised Source Separation with Deep Spatial Models
(RIKEN-AIP Open Seminar 2021)
Determined Blind Source Separation Based on NF-IVA with Time-Varying Linear Transformations
(日本音響学会研究発表会 2021)
On Training A Joint Magnitude and Phase Deep Generative Model
(Information-Based Induction Sciences Workshop (IBIS) 2018)

Education (4)：

2015 - 2017 University of Lorraine Doctoral School IAEM
2011 - 2013 Toyohashi University of Technology Graduate Program of Computer Science and Engineering
2010 - 2011 Institut Teknologi Bandung School of Electrical Engineering and Informatics
2004 - 2008 Institut Teknologi Bandung School of Electrical Engineering and Informatics

Professional career (4)：

Work history (7)：

2022/04 - 現在 RIKEN Center for Advanced Intelligence Project (AIP) Research Scientist
2018/06 - 現在 Kyoto University Visiting Researcher
2018/06 - 2022/03 RIKEN Center for Advanced Intelligence Project (AIP) Postdoctoral Researcher
2018/03 - 2018/04 Inria Research Engineer
2015/01 - 2017/12 Inria Ph.D. Student

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Association Membership(s) (2)：

Acoustical Society of Japan , IEEE

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