Machine Understanding of Sound and Music

The Soundbendor Lab is a research group in the School of Electrical Engineering and Computer Science at Oregon State University. Our interdisciplinary research focuses on a computational understanding of sound and music using artificial intelligence and deep-learning. We engage in a diverse set of projects in the areas of computational musicology, music affect, acoustic analysis, and bioacoustic understanding.

Amplifying Sonic Understanding

Harnessing cutting-edge AI and machine learning models and approaches, we push the boundaries of sonic comprehension. Our lab is a playground where art and algorithms collide to attempt to interpret and decipher complex soundscapes. 

Orchestrating AI Algorithms

Our dynamic team of AI visionaries, sound gurus, and music aficionados push the boundaries of sound analysis with state of the art approaches. From deciphering intricate melodies to estimating emotional qualities of music, we are redefining how we use technology to perceive and interact with audio landscapes.

Advancing Sound Scholarship

We investigate new understandings of sound and music that reverberate across academic disciplines. We share our interdisciplinary work in academic journals and conferences and through open-source tools and public demos.

Symphonies of Collaboration

Collaboration is the heartbeat of creativity, and we orchestrate them on a global scale. From partnering with music institutions to collaborating with AI innovators, we harmonize diverse expertise to compose a new narrative for sound and music analysis.

Patrick Donnelly

Assistant Professor

Patrick is an assistant professor in Computer Science at Oregon State University. Combining his background in machine learning and musicology, Patrick uses computational approaches to better understand sound and music.

Patrick has always been fascinated by the intersection of math, music, and language. As an undergraduate student at Washington University in Saint Louis, he majored in computer science, music, and Italian.  He received master degrees in Computer Music and Musicology from the Peabody Conservatory and in Computer Science from the Johns Hopkins University. 

He received his Ph.D. in Computer Science from Montana State University in 2015 with a dissertation focused on classification of musical instrument timbre from polyphonic audio. As a postdoctoral researcher in the Emotive Computing Laboratory at the University Of Notre Dame, he researched automatic analysis of teachers' instructional practices using acoustic signal processing and machine learning. Prior to joining OSU in 2019, he taught Computer Science at Chico State University.

Patrick teaches primarily on the Cascades campus in Bend, Oregon.  Patrick mentors students in Corvallis, Bend, and on the Ecampus.



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