Chris Donahue

@chrisdonahue.com

Research in generative AI for **human** creativity in music + more. Assistant professor at CMU CSD, leading the 🎼 G-CLef lab. Part time research scientist at Google DeepMind on the Magenta team (views my own)

✅ End to end generation of expressive performance *audio* from score *images*! An important step towards seamless interaction with computer music systems and a fun collaboration between Dasaem’s group at Sogang University and my group at CMU

@dasaemjeong.bsky.social · last yr.

🎶Now a neural network can read scanned score image and generate performance audio in end-to-end😎 I'm super excited to introduce our work on Unified Cross-modal translation between Score Image, Symbolic Music, and Audio. Why does it matter and how to make it? Check the thread🧵

Thrilled to share that my *incoming* PhD student Yewon Kim’s work on multimodal inspiration in music AI has been recognized with a Best Paper Award at #CHI2025 🎉 Yewon really knocked it out of the park here. Can't wait to see what she does for her PhD! arxiv.org/abs/2412.18940

Amuse: Human-AI Collaborative Songwriting with Multimodal Inspirations

Songwriting is often driven by multimodal inspirations, such as imagery, narratives, or existing music, yet songwriters remain unsupported by current music AI systems in incorporating these multimodal...

arxiv.org

Inaugurating new acct to share work from my PhD student! Wayne et al have been running a live eval platform Copilot Arena - a VSCode extension serving code completions from AI systems to real developers. See 🧵 for findings and preprint Excited to be evaluating human-AI *workflows* holistically!

Wayne@waynechi.bsky.social · 2y ago

What do developers 𝘳𝘦𝘢𝘭𝘭𝘺 think of AI coding assistants? In October, we launched Copilot Arena to collect user preferences on real dev workflows. After months of live service, we’re here to share our findings in our recent preprint. Here's what we have learned /🧵