Scholar
Irmak Bukey
Google Scholar ID: XYRO9LUAAAAJ
PhD Student, Carnegie Mellon University
Citations & Impact
Citations
7
H-index
2
i10-index
0
Publications
6
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 1. Just Label the Repeats for In-The-Wild Audio-to-Score Alignment, ISMIR 2024
- 2. FlexDTW: Dynamic Time Warping With Flexible Boundary Conditions, ISMIR 2023
- 3. Audio Cross Verification Using Dual Alignment Likelihood Ratio Test, ICASSP 2023
- 4. An Exploration of Generating Sheet Music Images, ISMIR 2022
Research Experience
- Involved in multiple projects related to music information retrieval, including Just Label the Repeats, FlexDTW, Audio Cross Verification, and Sheet Music Image Generation.
Education
- Ph.D. student in Computer Science at Carnegie Mellon University, Advisor: Chris Donahue
Background
- Research interests lie at the intersection of machine learning and music, leveraging tools from ML and MIR to work on musical tasks. The goal is to find ways to enhance how we engage and interact with music as well as inspire musical creativity.
Miscellany
- Personal interests: Likes playing guitar and keyboard, tried mandolin. Enjoys listening to music, dancing, and having music in the background. Believes music is significant in cultural expression, emotional understanding, and self-expression.
Co-authors