Scholar
Bob L. T. Sturm
Google Scholar ID: KdeYIvMAAAAJ
Associate Professor, KTH Royal Institute of Technology, Stockholm
audio and music signal processing
music information retrieval
music generation
evaluation
sparse approximation
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Citations & Impact
All-time
Citations
2,612
H-index
23
i10-index
43
Publications
20
Co-authors
79
list available
Contact
GitHub
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Publications
3 items
Data-Driven Analysis of Text-Conditioned AI-Generated Music: A Case Study with Suno and Udio
2025
Cited
0
"I made this (sort of)": Negotiating authorship, confronting fraudulence, and exploring new musical spaces with prompt-based AI music generation
2025
Cited
0
SMART: Tuning a symbolic music generation system with an audio domain aesthetic reward
2025
Cited
0
Resume (English only)
Academic Achievements
Provided a detailed examination of the MusiCNN system, including how it processes audio signals and the impact of different layers on the input data.
Research Experience
Conducted in-depth analysis of the MusiCNN system, exploring its architecture and functionality.
Co-authors
79 total
Co-author 1
Saumitra Mishra
Executive Director at JP Morgan
Simon Dixon
Centre for Digital Music, Queen Mary University of London
Co-author 4
Emmanouil Benetos
Queen Mary University of London
Co-author 6
Co-author 7
Co-author 8
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