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.
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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
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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 AccessFile2 Citations (Scopus)23 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 contribution › Scientific › peer-review
Open Access -
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 AccessFile82 Downloads (Pure) -
Machine-learning-based estimation of reverberation time using room geometry for room effect rendering
Falcon Perez, R., Götz, G. & Pulkki, V., 13 Sept 2019, Proceedings of the 23rd International Congress on Acoustics : integrating 4th EAA Euroregio 2019 : 9-13 September 2019 in Aachen, Germany. Deutsche Gesellschaft für Akustik, p. 7258-7265Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile1 Citation (Scopus)229 Downloads (Pure)
Projects
- 1 Finished
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Hybrid modeling of acoustics for virtual reality audio engines
Pulkki, V., Pajunen, L., Paasonen, J., McCormack, L., Bountourakis, V., Götz, G., Hyvärinen, P., Marschall, M., Wirler, S., Falcon Perez, R. & Fernandez, J.
01/09/2018 → 31/08/2022
Project: Academy of Finland: Other research funding
Activities
- 1 Conference presentation
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Machine-learning-based estimation of reverberation time using room geometry for room effect rendering
Ricardo Falcon Perez (Speaker), Georg Götz (Contributor) & Ville Pulkki (Contributor)
9 Sept 2019 → 14 Sept 2019Activity: Talk or presentation types › Conference presentation