Aditya Arie Nugraha

52 papers A 5B 1C 1Misc 4Journal 22Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SIRUP: A diffusion-based virtual upmixer of steering vectors for highly-directive spatialization with first-order ambisonics. CoRR Emilio Picard, Diego Di Carlo, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii
2025	J	`jnl`	Gaussian Process Regression of Steering Vectors With Physics-Aware Deep Composite Kernels for Augmented Listening. CoRR Diego Di Carlo, Shoichi Koyama, Aditya Arie Nugraha, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii
2025	—	`conf`	Joint Separation and Tracking of Moving Sources with Distributed Microphone Arrays Based on Time-Varying Inertial Spatial Models. APSIPA Ryunosuke Nihei, Yoshiaki Bando, Aditya Arie Nugraha, Diego Di Carlo, Hiroyuki Ueda, Yosuke Ito, Kazuyoshi Yoshii
2025	—	`conf`	Physically Informed Spatial Regularization for Sound Event Localization and Detection. WASPAA Haocheng Liu, Diego Di Carlo, Aditya Arie Nugraha, Kazuyoshi Yoshii, Gaël Richard, Mathieu Fontaine
2025	—	`conf`	SHAMaNS: Sound Localization with Hybrid Alpha-Stable Spatial Measure and Neural Steerer. EUSIPCO Diego Di Carlo, Mathieu Fontaine, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii
2025	J	`jnl`	SHAMaNS: Sound Localization with Hybrid Alpha-Stable Spatial Measure and Neural Steerer. CoRR Diego Di Carlo, Mathieu Fontaine, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii
2025	—	`conf`	Visually-Informed Multichannel Sound Source Separation Based on 3D Gaussian Primitives. APSIPA Haruaki Asano, Ryunosuke Nihei, Yoshiaki Bando, Aditya Arie Nugraha, Diego Di Carlo, Hiroyuki Ueda, Yosuke Ito, Kazuyoshi Yoshii
2024	—	`conf`	Joint Audio Source Localization and Separation with Distributed Microphone Arrays Based on Spatially-Regularized Multichannel NMF. IWAENC Yoshiaki Sumura, Diego Di Carlo, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii
2024	—	`conf`	Neural Steerer: Novel Steering Vector Synthesis with a Causal Neural Field over Frequency and Direction. ICASSP Workshops Diego Di Carlo, Aditya Arie Nugraha, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii
2024	A	`conf`	RIR-in-a-Box: Estimating Room Acoustics from 3D Mesh Data through Shoebox Approximation. INTERSPEECH Liam Kelley, Diego Di Carlo, Aditya Arie Nugraha, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii
2024	—	`conf`	Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising. APSIPA Yoto Fujita, Aditya Arie Nugraha, Diego Di Carlo, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii
2024	J	`jnl`	Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising. CoRR Yoto Fujita, Aditya Arie Nugraha, Diego Di Carlo, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii
2023	Misc	`conf`	Exploiting Sparse Recovery Algorithms for Semi-Supervised Training of Deep Neural Networks for Direction-of-Arrival Estimation. ICASSP Murtiza Ali, Aditya Arie Nugraha, Karan Nathwani
2023	—	`conf`	Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation. EUSIPCO Yoshiaki Bando, Yoshiki Masuyama, Aditya Arie Nugraha, Kazuyoshi Yoshii
2023	J	`jnl`	Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation. CoRR Yoshiaki Bando, Yoshiki Masuyama, Aditya Arie Nugraha, Kazuyoshi Yoshii
2023	J	`jnl`	Neural Steerer: Novel Steering Vector Synthesis with a Causal Neural Field over Frequency and Source Positions. CoRR Diego Di Carlo, Aditya Arie Nugraha, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii
2023	—	`conf`	Time-Domain Audio Source Separation Based on Gaussian Processes with Deep Kernel Learning. WASPAA Aditya Arie Nugraha, Diego Di Carlo, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii
2022	J	`jnl`	Autoregressive Moving Average Jointly-Diagonalizable Spatial Covariance Analysis for Joint Source Separation and Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii, Tatsuya Kawahara
2022	J	`jnl`	DNN-Free Low-Latency Adaptive Speech Enhancement Based on Frame-Online Beamforming Powered by Block-Online FastMNMF. CoRR Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii
2022	—	`conf`	DNN-free Low-Latency Adaptive Speech Enhancement Based on Frame-Online Beamforming Powered by Block-Online Fastmnmf. IWAENC Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii
2022	A	`conf`	Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments. IROS Kouhei Sekiguchi, Aditya Arie Nugraha, Yicheng Du, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii
2022	J	`jnl`	Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments. CoRR Kouhei Sekiguchi, Aditya Arie Nugraha, Yicheng Du, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii
2022	A	`conf`	Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments. INTERSPEECH Yicheng Du, Aditya Arie Nugraha, Kouhei Sekiguchi, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii
2022	J	`jnl`	Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments. CoRR Yicheng Du, Aditya Arie Nugraha, Kouhei Sekiguchi, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii
2022	—	`conf`	Elliptically Contoured Alpha-Stable Representation for MUSIC-Based Sound Source Localization. EUSIPCO Mathieu Fontaine, Diego Di Carlo, Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii
2022	Misc	`conf`	Flow-Based Fast Multichannel Nonnegative Matrix Factorization for Blind Source Separation. ICASSP Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii
2022	J	`jnl`	Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation. CoRR Mathieu Fontaine, Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii
2022	J	`jnl`	Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. Mathieu Fontaine, Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii
2022	—	`conf`	Joint Localization and Synchronization of Distributed Camera-Attached Microphone Arrays for Indoor Scene Analysis. IWAENC Yoshiaki Sumura, Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Kazuyoshi Yoshii
2021	A	`conf`	Alpha-Stable Autoregressive Fast Multichannel Nonnegative Matrix Factorization for Joint Speech Enhancement and Dereverberation. Interspeech Mathieu Fontaine, Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii
2021	Misc	`conf`	Autoregressive Fast Multichannel Nonnegative Matrix Factorization For Joint Blind Source Separation And Dereverberation. ICASSP Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii
2021	J	`jnl`	Neural Full-Rank Spatial Covariance Analysis for Blind Source Separation. IEEE Signal Process. Lett. Yoshiaki Bando, Kouhei Sekiguchi, Yoshiki Masuyama, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii
2020	J	`jnl`	A Flow-Based Deep Latent Variable Model for Speech Spectrogram Modeling and Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. Aditya Arie Nugraha, Kouhei Sekiguchi, Kazuyoshi Yoshii
2020	—	`conf`	Fast Multichannel Correlated Tensor Factorization for Blind Source Separation. EUSIPCO Kazuyoshi Yoshii, Kouhei Sekiguchi, Yoshiaki Bando, Mathieu Fontaine, Aditya Arie Nugraha
2020	J	`jnl`	Fast Multichannel Nonnegative Matrix Factorization With Directivity-Aware Jointly-Diagonalizable Spatial Covariance Matrices for Blind Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Kazuyoshi Yoshii, Tatsuya Kawahara
2020	J	`jnl`	Flow-Based Independent Vector Analysis for Blind Source Separation. IEEE Signal Process. Lett. Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii
2020	—	`conf`	Semi-supervised Multichannel Speech Separation Based on a Phone- and Speaker-Aware Deep Generative Model of Speech Spectrograms. EUSIPCO Yicheng Du, Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii, Tatsuya Kawahara
2020	A	`conf`	Unsupervised Robust Speech Enhancement Based on Alpha-Stable Fast Multichannel Nonnegative Matrix Factorization. INTERSPEECH Mathieu Fontaine, Kouhei Sekiguchi, Aditya Arie Nugraha, Kazuyoshi Yoshii
2019	Misc	`conf`	A Deep Generative Model of Speech Complex Spectrograms. ICASSP Aditya Arie Nugraha, Kouhei Sekiguchi, Kazuyoshi Yoshii
2019	J	`jnl`	A Deep Generative Model of Speech Complex Spectrograms. CoRR Aditya Arie Nugraha, Kouhei Sekiguchi, Kazuyoshi Yoshii
2019	B	`conf`	Audio-Visual SLAM towards Human Tracking and Human-Robot Interaction in Indoor Environments. RO-MAN Aaron Chau, Kouhei Sekiguchi, Aditya Arie Nugraha, Kazuyoshi Yoshii, Kotaro Funakoshi
2019	—	`conf`	Cauchy Multichannel Speech Enhancement with a Deep Speech Prior. EUSIPCO Mathieu Fontaine, Aditya Arie Nugraha, Roland Badeau, Kazuyoshi Yoshii, Antoine Liutkus
2019	—	`conf`	Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices. EUSIPCO Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii
2019	J	`jnl`	Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices. CoRR Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii
2019	J	`jnl`	Semi-Supervised Multichannel Speech Enhancement With a Deep Speech Prior. IEEE ACM Trans. Audio Speech Lang. Process. Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Kazuyoshi Yoshii, Tatsuya Kawahara
2017	J	`jnl`	An analysis of environment, microphone and data simulation mismatches in robust speech recognition. Comput. Speech Lang. Emmanuel Vincent, Shinji Watanabe, Aditya Arie Nugraha, Jon Barker, Ricard Marxer
2017	—	`—`	Deep neural networks for source separation and noise-robust speech recognition. (Réseaux de neurones profonds pour la séparation des sources et la reconnaissance robuste de la parole). Aditya Arie Nugraha
2016	J	`jnl`	Multichannel Audio Source Separation With Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. Aditya Arie Nugraha, Antoine Liutkus, Emmanuel Vincent
2016	—	`conf`	Multichannel music separation with deep neural networks. EUSIPCO Aditya Arie Nugraha, Antoine Liutkus, Emmanuel Vincent
2015	C	`conf`	Robust ASR using neural network based speech enhancement and feature simulation. ASRU Sunit Sivasankaran, Aditya Arie Nugraha, Emmanuel Vincent, Juan Andres Morales-Cordovilla, Siddharth Dalmia, Irina Illina, Antoine Liutkus
2014	J	`jnl`	Single-channel dereverberation by feature mapping using cascade neural networks for robust distant speaker identification and speech recognition. EURASIP J. Audio Speech Music. Process. Aditya Arie Nugraha, Kazumasa Yamamoto, Seiichi Nakagawa
2013	—	`conf`	Single channel dereverberation method in log-melspectral domain using limited stereo data for distant speaker identification. APSIPA Aditya Arie Nugraha, Kazumasa Yamamoto, Seiichi Nakagawa

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.