Szabolcs Iváncsy

Szabolcs Iváncsy is an Honorary Associate Professor at the Department of Automation and Applied Informatics, Budapest University of Technology and Economics. His research focuses on audio signal processing and computational musicology, particularly in the domain of sound source separation for polyphonic music.

• Department: Automation and Applied Informatics
• University: Budapest University of Technology and Economics

His work employs techniques such as instrument prints, energy splitting, and frequency estimation to isolate individual sound sources from complex musical recordings. These methods intersect with machine learning and signal processing to address challenges in polyphonic music analysis.

Available publications highlight advancements in sound source separation, instrument modeling, and computational approaches to audio engineering. While no formal awards or students are listed, his contributions are documented in the BME Publication Registry and platforms like Google Scholar.

• Email: Ivancsy.Szabolcs@aut.bme.hu
• Office: Q.B215, Budapest 1117
• Phone: +36 (1) 463-2885
• Fax: +36 (1) 463-2871
• Homepage: https://avalon.aut.bme.hu/~ivancsy