I am pursuing a Ph.D. in computer science at UC Santa Barbara, advised by Dr. Tao Yang. Stay tuned for our future research!
I worked at the Soundbendor Lab for four years, where I was advised by Dr. Patrick Donnelly. My work focused on applying machine learning to sound in the time-domain, resulting in two peer-reviewed publications, multiple poster presentations, and winning university awards for my work.
Yingrui Yang, Parker Carlson, Shanxiu He, Yifan Qiao and Tao Yang. Cluster-based Partial Dense Retrieval Fused with Sparse Text Retrieval. In: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), July 2024.
Parker Carlson and Patrick J. Donnelly. Deep Learning Approaches for Sung Vowel Classification. In: 13th International Conference on Computational Intelligence in Music Sound Art and Design (EvoMUSART), April 2024.
Patrick J. Donnelly and Parker Carlson. Transposition of Simple Waveforms from Raw Audio with Deep Learning. In: 12th International Conference on Computational Intelligence in Music Sound Art and Design (EvoMUSART), April 2023.
Parker Carlson. Musical Transposition Directly from Audio with Deep Recurrent Neural Networks. National Conference on Undergraduate Research, 2021.
[CANCELLED] Parker Carlson. Musical Transposition Directly from Audio with Deep Recurrent Neural Networks. National Conference on Undergraduate Research, 2020.
Parker Carlson. Musical Transposition Directly from Audio with Deep Recurrent Neural Networks. OSU: Celebrating Undergraduate Excellence, 2020.
Industry Choice Award - 2nd Place. 2020 OSU College of Engineering Virtual Showcase.
Undergraduate Research Scholarship. 2020 OSU URSA Engage.