Chris Donahue
Assistant Professor
Develops generative AI for music and audio, focusing on interactive tools for human creativity.
Chris Donahue's lab at CMU works on music, audio & sound and generative & foundation models. 25 papers since 2023, 8 at top venues, mostly CHI and ICML. 6 PhD students and 1 master's student. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 32%
- PhD students
- 6
- MS students
- 1
- alumni listed
- 4
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 8 papers2026 · T1 2 · collecting
- 9 papers2025 · T1 3
- 7 papers2024 · T1 3
- 1 papers2023 · T1 0
T1 venuesOtherVenues: CHI, ICML, AAAI, ICLR, NAACL
Research focuspaper titles that use each topic's words
- Music, audio & sound16 papers
- Generative & foundation models3 papers
- interactive tools0 papers
- creativity0 papers
- develops generative0 papers
Paper list
From the lab homepage and DBLP.
20268 papers
- CHI (T1)A Design Space for Live Music Agents (opens in a new tab)
- —Benchmarking Language Modeling for Lossless Compression of Full-Fidelity Audio (opens in a new tab)
- ICLR (T1)EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits (opens in a new tab)
- —FoleyBench: A Benchmark For Video-to-Audio Models (opens in a new tab)
- —GameDevBench: Evaluating Agentic Capabilities Through Game Development (opens in a new tab)
- —Local Multimodal Music Alignment from Global Supervision (opens in a new tab)
- —MultiVerse: A Creator-Centered Approach to Steering Context-Adaptive Lyrics (opens in a new tab)
- —Rethinking music captioning with music metadata llms (opens in a new tab)
20259 papers
- ISMIRAligning Text-to-Music Evaluation with Human Preferences (opens in a new tab)
- CHI (T1)Amuse: Human-AI Collaborative Songwriting with Multimodal Inspirations (opens in a new tab)
- ICML (T1)Copilot Arena: A Platform for Code LLM Evaluation in the Wild (opens in a new tab)
- WASPAALearning Perceptually Relevant Temporal Envelope Morphing (opens in a new tab)
- —Music Arena: Live Evaluation for Text-to-Music (opens in a new tab)
- ISMIRRISE: Adaptive music playback for Realtime Intensity Synchronization with Exercise (opens in a new tab)
- NAACL WorkshopTowards Codec-LM Co-design for Neural Codec Language Models (opens in a new tab)
- —U-must: A unified framework for cross-modal translation of score images, symbolic music, and performance audio (opens in a new tab)
- NAACL (T1)VERSA: A Versatile Evaluation Toolkit for Speech, Audio, and Music (opens in a new tab)
20247 papers
- ICML (T1)Adaptive Accompaniment with ReaLchords (opens in a new tab)
- Trans. Mach. Learn. Res.Anticipatory Music Transformer (opens in a new tab)
- ISMIRDo Music Generation Models Encode Music Theory? (opens in a new tab)
- ISMIRJust Label the Repeats for In-The-Wild Audio-to-Score Alignment (opens in a new tab)
- IEEE ACM Trans. Audio Speech Lang. Process.Music controlnet: Multiple time-varying controls for music generation (opens in a new tab)
- UIST (T1)Towards Music-Aware Virtual Assistants (opens in a new tab)
- AAAI (T1)V2Meow: Meowing to the Visual Beat via Video-to-Music Generation (opens in a new tab)
Where alumni went4 listed, 0% to industry
Industry 0Academia 1
Also to
- MIT
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage and DBLP
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
CMUcloses