Research output per year
Research output per year
Personal profile
Education/Academic qualification
Bachelor's degree, Engineering and Technology, Universidad Nacional Autónoma de México
Award Date: 20 Jun 2016
Keywords
- machine learning
- music information retrieval
- Audio Signal Processing
Fingerprint
Dive into the research topics where Ricardo Falcon Perez is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Location as Supervision for Weakly Supervised Multi-Channel Source Separation of Machine Sounds
Falcon-Perez, R., Wichern, G., Germain, F. G. & Le Roux, J., 2023, Proceedings of the 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2023. IEEE, (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics; vol. 2023-October).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile1 Citation (Scopus)75 Downloads (Pure) -
CURRICULUM LEARNING WITH AUDIO DOMAIN DATA AUGMENTATION FOR SOUND EVENT LOCALIZATION AND DETECTION
Falcon Perez, R., 15 Jul 2022.Research output: Contribution to conference › Paper › Scientific
Open Access -
Neural network for multi-exponential sound energy decay analysis
Götz, G., Falcon Perez, R., Schlecht, S. & Pulkki, V., 12 Aug 2022, In: Journal of the Acoustical Society of America. 152, 2, p. 942-953 13 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile13 Citations (Scopus)154 Downloads (Pure) -
Spatial Mixup: Directional Loudness Modification as Data Augmentation for Sound Event Localization and Detection
Falcon Perez, R., Shimada, K., Koyama, Y., Takahashi, S. & Mitsufuji, Y., 27 Apr 2022, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. United States: IEEE, p. 431-435 5 p. (IEEE International Conference on Acoustics, Speech and Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access1 Citation (Scopus) -
Spherical Maps of Acoustic Properties as Feature Vectors in Machine-Learning-Based Estimation of Acoustic Parameters
Falcon Perez, R., Götz, G. & Pulkki, V., 6 Sept 2021, In: Journal of the Audio Engineering Society. 69, 9, p. 632-643 12 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile149 Downloads (Pure)
Projects
- 1 Finished
-
Hybrid modeling of acoustics for virtual reality audio engines
Pulkki, V. (Principal investigator), Fernandez, J. (Project Member), Falcon Perez, R. (Project Member), Pajunen, L. (Project Member), Hyvärinen, P. (Project Member), Götz, G. (Project Member), Marschall, M. (Project Member), McCormack, L. (Project Member), Bountourakis, V. (Project Member), Paasonen, J. (Project Member) & Wirler, S. (Project Member)
01/09/2018 → 31/08/2022
Project: Academy of Finland: Other research funding
Activities
- 1 Conference presentation
-
Machine-learning-based estimation of reverberation time using room geometry for room effect rendering
Falcon Perez, R. (Speaker), Götz, G. (Contributor) & Pulkki, V. (Contributor)
9 Sept 2019 → 14 Sept 2019Activity: Talk or presentation types › Conference presentation