Aditya Arie Nugraha

Time-Domain Audio Source Separation Based on Gaussian Processes with Deep Kernel Learning

A. A. Nugraha, D. Di Carlo, Y. Bando, M. Fontaine, and K. Yoshii, "Time-Domain Audio Source Separation Based on Gaussian Processes with Deep Kernel Learning," in Proc. IEEE Workshop Appl. Signal Process. Audio Acoust., New Paltz, NY, USA, 2023, pp. 1-5.

Adaptive Online Neural Speech Enhancement with Augmented Reality Smart Glasses

K. Sekiguchi, A. A. Nugraha, Y. Du, Y. Bando, M. Fontaine, and K. Yoshii, "Time-Domain Audio Source Separation Based on Gaussian Processes with Deep Kernel Learning," in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst., Kyoto, Japan, 2022, pp. 9266-9273.

NF-FastMNMF

A. A. Nugraha, K. Sekiguchi, M. Fontaine, Y. Bando, and K. Yoshii, "Flow-Based Fast Multichannel Nonnegative Matrix Factorization for Blind Source Separation," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Singapore, Singapore, 2022, pp. 501-505.

Neural FCA

Y. Bando, K. Sekiguchi, Y. Masuyama, A. A. Nugraha, M. Fontaine and K. Yoshii, "Neural Full-Rank Spatial Covariance Analysis for Blind Source Separation," IEEE Signal Processing Letters, vol. 28, pp. 1670-1674, 2021.

NF-IVA

A. A. Nugraha, K. Sekiguchi, M. Fontaine, Y. Bando, and K. Yoshii, "Flow-Based Independent Vector Analysis for Blind Source Separation," IEEE Signal Process. Lett., vol. 27, pp. 2173-2177, 2020.

GF-VAE

A. A. Nugraha, K. Sekiguchi, and K. Yoshii, "A flow-based deep latent variable model for speech spectrogram modeling and enhancement," IEEE/ACM Trans. Audio, Speech, Language Process., vol. 28, pp. 1104--1117, 2020.

Speech Enhancement with Deep Speech Prior

K. Sekiguchi, Y. Bando, A. A. Nugraha, K. Yoshii, and T. Kawahara, "Semi-supervised multichannel speech enhancement with a deep speech prior," IEEE/ACM Trans. Audio, Speech, Language Process., vol. 27, no. 12, pp. 2197–2212, 2019.

Complex-Valued Speech Generative Model

A. A. Nugraha, K. Sekiguchi, and K. Yoshii, "A deep generative model of speech complex spectrograms," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Brighton, UK, 2019, pp. 905--909.

Music Separation

A. A. Nugraha, A. Liutkus, and E. Vincent, "Multichannel music separation with deep neural networks," in Proc. Eur. Signal Process. Conf., Budapest, Hungary, 2016, pp. 1748–1752.

Sampling-Rate-Agnostic Speech Super-Resolution Based on Gaussian Process Dynamical Systems With Deep Kernel Learning

A. A. Nugraha, D. Di Carlo, Y. Bando, M. Fontaine, and K. Yoshii, "Sampling-Rate-Agnostic Speech Super-Resolution Based on Gaussian Process Dynamical Systems With Deep Kernel Learning," 2024.