Scholar
Benjamin Elizalde
Google Scholar ID: ttQA27sAAAAJ
Apple, Microsoft, Carnegie Mellon University
Citations & Impact
Citations
4,241
H-index
16
i10-index
25
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Released CLAP code (GitHub); Organized a Special Session in ICASSP 2023 called “Synergy between human and machine approaches to sound/scene recognition and processing”; Won second place on the Microsoft Hackathon 2021 - Democratizing AI and Machine Learning; Presented a poster on “Audio-based spam call detection” at the Acoustic Society of America Meeting 2021.
Research Experience
- Microsoft (January 2021 - present); Staff Researcher at ICSI - UC Berkeley in the Audio & Multimedia Lab.
Education
- Ph.D.: Carnegie Mellon University, specializing in Machine Learning for Audio Signal Processing, supervised by Prof. Bhiksha Raj and Prof. Ian Lane; Master's and Bachelor's degrees: ITESM.
Background
- Research Interests: Acoustic Intelligence, Audio Analytics, and Sound Understanding. Specialization: Machine Learning for Audio Signal Processing.
Co-authors