Ricardo Falcon Perez

Doctoral Researcher
Doctoral Researcher
T412 Department of Information and Communications Engineering
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Areas of expertise

machine learning, music information retrieval, Audio Signal Processing

Research groups

  • Communication Acoustics: Spatial Sound and Psychoacoustics, Doctoral Researcher


Location as Supervision for Weakly Supervised Multi-Channel Source Separation of Machine Sounds

Ricardo Falcon-Perez, Gordon Wichern, Francois G. Germain, Jonathan Le Roux 2023 Proceedings of the 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2023

Spatial Mixup: Directional Loudness Modification as Data Augmentation for Sound Event Localization and Detection

Ricardo Falcon Perez, Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Yuki Mitsufuji 2022 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing

Neural network for multi-exponential sound energy decay analysis

Georg Götz, Ricardo Falcon Perez, Sebastian Schlecht, Ville Pulkki 2022 Journal of the Acoustical Society of America

Spherical Maps of Acoustic Properties as Feature Vectors in Machine-Learning-Based Estimation of Acoustic Parameters

Ricardo Falcon Perez, Georg Götz, Ville Pulkki 2021 Journal of the Audio Engineering Society

Machine-learning-based estimation of reverberation time using room geometry for room effect rendering

Ricardo Falcon Perez, Georg Götz, Ville Pulkki 2019 Proceedings of the 23rd International Congress on Acoustics : integrating 4th EAA Euroregio 2019 : 9-13 September 2019 in Aachen, Germany