Juliano G. C. Ribeiro

According to our database, Juliano G. C. Ribeiro authored at least 13 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Kernel ridge regression based sound field estimation using a rigid spherical microphone array.

Ryo Matsuda, Juliano G. C. Ribeiro, Hitoshi Akiyama, Jorge Treviño

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2025

An Analysis of Musical Instruments Directivity Based on Spatial Complexity.

Federico Miotello, Juliano G. C. Ribeiro, Ryo Matsuda, Jorge Treviño, Mirco Pezzoli

Proceedings of the 33rd European Signal Processing Conference, 2025

2024

Physics-constrained adaptive kernel interpolation for region-to-region acoustic transfer function: a Bayesian approach.

Juliano G. C. Ribeiro, Shoichi Koyama, Hiroshi Saruwatari

EURASIP J. Audio Speech Music. Process., December, 2024

Physics-Informed Machine Learning for Sound Field Estimation: Fundamentals, state of the art, and challenges [Special Issue On Model-Based and Data-Driven Audio Signal Processing].

Shoichi Koyama, Juliano G. C. Ribeiro, Tomohiko Nakamura, Natsuki Ueno, Mirco Pezzoli

IEEE Signal Process. Mag., November, 2024

Sound Field Estimation Based on Physics-Constrained Kernel Interpolation Adapted to Environment.

Juliano G. C. Ribeiro, Shoichi Koyama, Ryosuke Horiuchi, Hiroshi Saruwatari

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Physics-Informed Machine Learning For Sound Field Estimation.

Shoichi Koyama, Juliano G. C. Ribeiro, Tomohiko Nakamura, Natsuki Ueno, Mirco Pezzoli

CoRR, 2024

2023

Kernel Interpolation of Incident Sound Field in Region Including Scattering Objects.

Shoichi Koyama, Masaki Nakada, Juliano G. C. Ribeiro, Hiroshi Saruwatari

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Kernel Interpolation of Acoustic Transfer Functions with Adaptive Kernel for Directed and Residual Reverberations.

Juliano G. C. Ribeiro, Shoichi Koyama, Hiroshi Saruwatari

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Region-to-Region Kernel Interpolation of Acoustic Transfer Functions Constrained by Physical Properties.

Juliano G. C. Ribeiro, Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Region-to-Region Kernel Interpolation of Acoustic Transfer Function with Directional Weighting.

Juliano G. C. Ribeiro, Shoichi Koyama, Hiroshi Saruwatari

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Kernel Learning for Sound Field Estimation with L1 and L2 Regularizations.

Ryosuke Horiuchi, Shoichi Koyama, Juliano G. C. Ribeiro, Natsuki Ueno, Hiroshi Saruwatari

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

2020

Kernel interpolation of acoustic transfer function between regions considering reciprocity.

Juliano G. C. Ribeiro, Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari

Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

2017

Improved DoA estimation with application to bearings-only acoustic source localization.

Juliano G. C. Ribeiro, Felipe G. Serrenho, José Antonio Apolinário, Antonio L. L. Ramos

Proceedings of the 2017 IEEE International Symposium on Signal Processing and Information Technology, 2017