Personal information

Websites & social links

https://aanugraha.gitlab.io/
https://members.loria.fr/ANugraha/

Other IDs

Scopus Author ID: 35364808300
ResearcherID: HMV-8889-2023
Researcher Name Resolver ID: 1000060858025

Countries

Indonesia, Japan, France

Activities

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Employment (6)

RIKEN: Wako, Saitama, JP

2022-04-01 to present | Research Scientist (Sound Scene Understanding Team)
Employment
Source: Self-asserted source
Aditya Arie Nugraha

Kyoto University: Kyoto, JP

2018-06 to present | Visiting researcher (Speech and Audio Processing Group)
Employment
Source: Self-asserted source
Aditya Arie Nugraha

RIKEN: Wako, Saitama, JP

2018-06 to 2022-03 | Postdoctoral Researcher (Sound Scene Understanding Team)
Employment
Source: Self-asserted source
Aditya Arie Nugraha

Inria Centre de Recherche Nancy Grand Est: Villers-les-Nancy, Lorraine, FR

2018-03 to 2018-04 | Research engineer (Multispeech)
Employment
Source: Self-asserted source
Aditya Arie Nugraha

Inria Centre de Recherche Nancy Grand Est: Villers-les-Nancy, Lorraine, FR

2015-01-01 to 2017-12-31 | Ph.D. student (Multispeech)
Employment
Source: Self-asserted source
Aditya Arie Nugraha

Institut Teknologi Bandung: Bandung, Jawa Barat, ID

2009-07 to 2011-11 | Engineer (Digital Signal Processing Research and Technology Group)
Employment
Source: Self-asserted source
Aditya Arie Nugraha

Education and qualifications (4)

University of Lorraine: Nancy, Lorraine, FR

2015 to 2017 | Doctor in Informatics (Computer Sciences, Automatic Control, Electrical Engineering and Mathematics)
Education
Source: Self-asserted source
Aditya Arie Nugraha

Toyohashi University of Technology: Toyohashi, Aichi, JP

2011 to 2013 | Master of Engineering (Computer Science and Engineering)
Education
Source: Self-asserted source
Aditya Arie Nugraha

Institut Teknologi Bandung: Bandung, Jawa Barat, ID

2010 to 2011 | Magister Teknik (Master of Science) (Electrical Engineering)
Education
Source: Self-asserted source
Aditya Arie Nugraha

Institut Teknologi Bandung: Bandung, Jawa Barat, ID

2004 to 2008 | Sarjana Teknik (Bachelor of Science) (Electrical Engineering)
Education
Source: Self-asserted source
Aditya Arie Nugraha

Professional activities (1)

IEEE: New York, NY, US

Membership
Source: Self-asserted source
Aditya Arie Nugraha

Works (17)

Autoregressive Moving Average Jointly-Diagonalizable Spatial Covariance Analysis for Joint Source Separation and Dereverberation

IEEE/ACM Transactions on Audio, Speech, and Language Processing
2022 | Journal article
DOI: 10.1109/TASLP.2022.3190734
Contributors: Kouhei Sekiguchi; Yoshiaki Bando; Aditya Arie Nugraha; Mathieu Fontaine; Kazuyoshi Yoshii; Tatsuya Kawahara
Source: check_circle
Crossref

Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation

IEEE/ACM Transactions on Audio, Speech, and Language Processing
2022 | Journal article
DOI: 10.1109/TASLP.2022.3172631
Contributors: Mathieu Fontaine; Kouhei Sekiguchi; Aditya Arie Nugraha; Yoshiaki Bando; Kazuyoshi Yoshii
Source: check_circle
Crossref

Neural Full-Rank Spatial Covariance Analysis for Blind Source Separation

IEEE Signal Processing Letters
2021 | Journal article
DOI: 10.1109/LSP.2021.3101699
Contributors: Yoshiaki Bando; Kouhei Sekiguchi; Yoshiki Masuyama; Aditya Arie Nugraha; Mathieu Fontaine; Kazuyoshi Yoshii
Source: check_circle
Crossref

A Flow-Based Deep Latent Variable Model for Speech Spectrogram Modeling and Enhancement

IEEE/ACM Transactions on Audio, Speech, and Language Processing
2020 | Journal article
DOI: 10.1109/TASLP.2020.2979603
Contributors: Aditya Arie Nugraha; Kouhei Sekiguchi; Kazuyoshi Yoshii
Source: check_circle
Crossref

Fast Multichannel Nonnegative Matrix Factorization With Directivity-Aware Jointly-Diagonalizable Spatial Covariance Matrices for Blind Source Separation

IEEE/ACM Transactions on Audio, Speech, and Language Processing
2020 | Journal article
DOI: 10.1109/TASLP.2020.3019181
Contributors: Kouhei Sekiguchi; Yoshiaki Bando; Aditya Arie Nugraha; Kazuyoshi Yoshii; Tatsuya Kawahara
Source: check_circle
Crossref

Flow-Based Independent Vector Analysis for Blind Source Separation

IEEE Signal Processing Letters
2020 | Journal article
DOI: 10.1109/LSP.2020.3039944
Contributors: Aditya Arie Nugraha; Kouhei Sekiguchi; Mathieu Fontaine; Yoshiaki Bando; Kazuyoshi Yoshii
Source: check_circle
Crossref

A Flow-Based Deep Latent Variable Model for Speech Spectrogram Modeling and Enhancement

2020-05-27 | Preprint
DOI: 10.36227/techrxiv.12375284.v1
Contributors: Aditya Arie Nugraha; Kouhei Sekiguchi; Kazuyoshi Yoshii
Source: check_circle
Crossref

A Flow-Based Deep Latent Variable Model for Speech Spectrogram Modeling and Enhancement

2020-05-27 | Preprint
DOI: 10.36227/techrxiv.12375284
Contributors: Aditya Arie Nugraha; Kouhei Sekiguchi; Kazuyoshi Yoshii
Source: check_circle
Crossref

Semi-Supervised Multichannel Speech Enhancement With a Deep Speech Prior

IEEE/ACM Transactions on Audio, Speech, and Language Processing
2019-12 | Journal article
DOI: 10.1109/TASLP.2019.2944348
Contributors: Kouhei Sekiguchi; Yoshiaki Bando; Aditya Arie Nugraha; Kazuyoshi Yoshii; Tatsuya Kawahara
Source: check_circle
Crossref

Deep neural network based multichannel audio source separation

Audio Source Separation
2018 | Book chapter
DOI: 10.1007/978-3-319-73031-8_7
Source: Self-asserted source
Aditya Arie Nugraha

An analysis of environment, microphone and data simulation mismatches in robust speech recognition

Computer Speech and Language
2017 | Journal article
DOI: 10.1016/j.csl.2016.11.005
EID:

2-s2.0-85009170959
Contributors: Vincent, E.; Watanabe, S.; Nugraha, A.A.; Barker, J.; Marxer, R.
Source: Self-asserted source
Aditya Arie Nugraha via Scopus - Elsevier

Multichannel audio source separation with deep neural networks

IEEE/ACM Transactions on Audio Speech and Language Processing
2016 | Journal article
DOI: 10.1109/TASLP.2016.2580946
EID:

2-s2.0-84979582257
Contributors: Nugraha, A.A.; Liutkus, A.; Vincent, E.
Source: Self-asserted source
Aditya Arie Nugraha via Scopus - Elsevier

Multichannel music separation with deep neural networks

European Signal Processing Conference
2016 | Conference paper
DOI: 10.1109/EUSIPCO.2016.7760548
EID:

2-s2.0-85006056570
Contributors: Nugraha, A.A.; Liutkus, A.; Vincent, E.
Source: Self-asserted source
Aditya Arie Nugraha via Scopus - Elsevier

Robust ASR using neural network based speech enhancement and feature simulation

2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings
2016 | Conference paper
DOI: 10.1109/ASRU.2015.7404834
EID:

2-s2.0-84964555729
Contributors: Sivasankaran, S.; Nugraha, A.A.; Vincent, E.; Morales-Cordovilla, J.A.; Dalmia, S.; Illina, I.; Liutkus, A.
Source: Self-asserted source
Aditya Arie Nugraha via Scopus - Elsevier

Single-channel dereverberation by feature mapping using cascade neural networks for robust distant speaker identification and speech recognition

Eurasip Journal on Audio, Speech, and Music Processing
2014 | Journal article
DOI: 10.1186/1687-4722-2014-13
EID:

2-s2.0-84901792475
Contributors: Nugraha, A.A.; Yamamoto, K.; Nakagawa, S.
Source: Self-asserted source
Aditya Arie Nugraha via Scopus - Elsevier

Single channel dereverberation method in log-melspectral domain using limited stereo data for distant speaker identification

2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
2013 | Conference paper
DOI: 10.1109/APSIPA.2013.6694117
EID:

2-s2.0-84893213902
Contributors: Nugraha, A.A.; Yamamoto, K.; Nakagawa, S.
Source: Self-asserted source
Aditya Arie Nugraha via Scopus - Elsevier

Performance evaluation of audio-video streaming service in Keerom, Papua using integrated audio-video performance test tool

Proceedings of 2011 6th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2011
2011 | Conference paper
DOI: 10.1109/TSSA.2011.6095423
EID:

2-s2.0-84255163166
Contributors: Gondokaryono, Y.S.; Bandung, Y.; Wibowo, J.A.; Nugraha, A.A.; Yonathan, B.; Ramadhianto, D.
Source: Self-asserted source
Aditya Arie Nugraha via Scopus - Elsevier
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