Foundational Algorithms for Music Analysis with Wide Applicability in Signal Processing

Computer Science & Math, Inventions & Innovation, Electricity & Electronics
Vighnesh Leonardo Shiv – USA

Automatic music analysis is the automated extraction of relevant perceptual information such as notes and instruments from music files like mp3s. First attempted in the 1970s at Stanford University, it remains an unsolved problem …

The problem is highly multifaceted and interdisciplinary, requiring the extraction of musical notes, instruments, percussion, emotion, etc., and drawing from fields as varied as computer science, mathematics, biology, physics, psychology, and electrical engineering. The problem’s difficulty lies in a necessity to reverse-engineer the human brain. This student created foundational algorithms designed to extract descriptive physical features from a music signal, namely sinusoids and onsets, making it easier to analyze and transcribe music.



Google Science Fair