Scholar
Brian McFee
Google Scholar ID: 2M9ZhTcAAAAJ
Music and Performing Arts Professions / Center for Data Science, New York University
machine learning
music information retrieval
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Citations & Impact
All-time
Citations
6,762
H-index
29
i10-index
49
Publications
20
Co-authors
99
list available
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Publications
7 items
How Much Audio Is Left In An Embedding? An Inversion Audit Of Audio Encoders
2026
Cited
0
SsgCaps: A controlled dataset for the evaluation of sound scene generation algorithms
2026
Cited
0
Evaluating Compositional Structure in Audio Representations
2026
Cited
0
Skip That Beat: Augmenting Meter Tracking Models for Underrepresented Time Signatures
2025
Cited
0
Investigating the Sensitivity of Pre-trained Audio Embeddings to Common Effects
2025
Cited
0
Hybrid Losses for Hierarchical Embedding Learning
2025
Cited
0
Sound Scene Synthesis at the DCASE 2024 Challenge
2025
Cited
0
Co-authors
14 total
Daniel P W Ellis
Research Scientist, Google
Oriol Nieto
Senior Research Engineer II at Adobe
Juan Pablo Bello
Professor of Music Technology, Computer Science & Engineering, NYU
Colin Raffel
University of Toronto, Vector Institute and Hugging Face
Eric Battenberg
Google DeepMind
Dawen Liang
Research Scientist, Netflix Inc.
Justin Salamon
Head of Sound Design AI Research at Adobe
Rachel M. Bittner
Spotify