Aditya Arie Nugraha - Concepedia

Author

Aditya Arie Nugraha

RIKEN Center for Advanced Intelligence Project ORCID

Also Known As

Aditya Arie Nugraha, Nugraha, Aditya Arie

Publications

1.2K

Citations

H-Index

Concepts

All Affiliations

RIKEN Center for Advanced Intelligence Project Kyoto University Kyoto College of Graduate Studies for Informatics National Institute of Advanced Industrial Science and Technology Centre National de la Recherche Scientifique

About

Aditya Arie Nugraha is an author at RIKEN Center for Advanced Intelligence Project specializing in speech recognition, speech processing, and signal processing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	14	1.1K
2	Health Sciences	9	9	914
3	Computer Science	5	5	467
4	Language Studies	1	1	17
5	Biostatistics	1	1	50

Aditya Arie Nugraha

Publications

1.1K

Citations

H-Index

Page 1

	Year	Citations
An analysis of environment, microphone and data simulation mismatches in robust speech recognition Emmanuel Vincent, Shinji Watanabe, Aditya Arie Nugraha, Computer Speech & Language Data Simulation MismatchesEngineeringHealth SciencesData ScienceNoise	2016	364
Multichannel Audio Source Separation With Deep Neural Networks Aditya Arie Nugraha, Antoine Liutkus, Emmanuel Vincent IEEE/ACM Transactions on Audio Speech and Language Processing Source SeparationDeep Neural NetworksEngineeringMachine LearningData Science	2016	290
Multichannel music separation with deep neural networks Aditya Arie Nugraha, Antoine Liutkus, Emmanuel Vincent MusicSource SeparationEngineeringHealth SciencesData Science	2016	82
Fast Multichannel Nonnegative Matrix Factorization With Directivity-Aware Jointly-Diagonalizable Spatial Covariance Matrices for Blind Source Separation Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, IEEE/ACM Transactions on Audio Speech and Language Processing Source SeparationLow-rank ApproximationMultichannel NmfEngineeringData Science	2020	63
Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Source SeparationLow-rank ApproximationEngineeringHealth SciencesData Science	2019	50
Semi-Supervised Multichannel Speech Enhancement With a Deep Speech Prior Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, IEEE/ACM Transactions on Audio Speech and Language Processing EngineeringMachine LearningSpeech EnhancementSpeech RecognitionData Science	2019	45
Robust ASR using neural network based speech enhancement and feature simulation Sunit Sivasankaran, Aditya Arie Nugraha, Emmanuel Vincent, EngineeringMachine LearningNeural NetworkSpeech EnhancementAsr Backend	2015	37
Neural Full-Rank Spatial Covariance Analysis for Blind Source Separation Yoshiaki Bando, Kouhei Sekiguchi, Yoshiki Masuyama, IEEE Signal Processing Letters Source SeparationEngineeringMachine LearningAmortized Variational InferenceAutoencoders	2021	25
A Flow-Based Deep Latent Variable Model for Speech Spectrogram Modeling and Enhancement Aditya Arie Nugraha, Kouhei Sekiguchi, Kazuyoshi Yoshii IEEE/ACM Transactions on Audio Speech and Language Processing EngineeringMachine LearningSpeech EnhancementSpeech RecognitionSpeech Spectrogram Modeling	2020	22
Flow-Based Independent Vector Analysis for Blind Source Separation Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine, IEEE Signal Processing Letters Source SeparationImage AnalysisEngineeringNormalizing FlowMulti-speaker Speech Recognition	2020	19

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