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Brian McFee
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- affiliation: New York University, NY, USA
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2020 – today
- 2024
- [j13]Morgan Buisson
, Brian McFee
Self-Supervised Learning of Multi-Level Audio Representations for Music Segmentation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2141-2152 (2024) - [c41]Irán R. Román, Christopher Ick, Sivan Ding, Adrian S. Roman, Brian McFee, Juan Pablo Bello:
Spatial Scaper: A Library to Simulate and Augment Soundscapes for Sound Event Localization and Detection in Realistic Rooms. ICASSP 2024: 1221-1225 - [i17]Irán R. Román, Christopher Ick, Sivan Ding, Adrian S. Roman, Brian McFee, Juan Pablo Bello
Spatial Scaper: A Library to Simulate and Augment Soundscapes for Sound Event Localization and Detection in Realistic Rooms. CoRR abs/2401.12238 (2024) - 2023
- [c40]Changhong Wang, Gaël Richard, Brian McFee:
Transfer Learning and Bias Correction With Pre-Trained Audio Embeddings. ISMIR 2023: 64-70 - [c39]Morgan Buisson, Brian McFee, Slim Essid, Hélène C. Crayencour:
A Repetition-Based Triplet Mining Approach for Music Segmentation. ISMIR 2023: 417-424 - [i16]Keunwoo Choi, Jaekwon Im, Laurie M. Heller
Foley Sound Synthesis at the DCASE 2023 Challenge. CoRR abs/2304.12521 (2023) - [i15]Changhong Wang, Gaël Richard, Brian McFee:
Transfer Learning and Bias Correction with Pre-trained Audio Embeddings. CoRR abs/2307.10834 (2023) - [i14]Christopher Ick, Brian McFee:
Leveraging Geometrical Acoustic Simulations of Spatial Room Impulse Responses for Improved Sound Event Detection and Localization. CoRR abs/2309.03337 (2023) - 2022
- [c38]Morgan Buisson, Brian McFee, Slim Essid, Hélène C. Crayencour:
Learning Multi-Level Representations for Hierarchical Music Structure Analysis.. ISMIR 2022: 591-597 - [r2]Markus Schedl, Peter Knees, Brian McFee, Dmitry Bogdanov:
Music Recommendation Systems: Techniques, Use Cases, and Challenges. Recommender Systems Handbook 2022: 927-971 - [i13]Keunwoo Choi, Sangshin Oh, Minsung Kang, Brian McFee:
A Proposal for Foley Sound Synthesis Challenge. CoRR abs/2207.10760 (2022) - 2021
- [j12]Meinard Müller
Interactive Learning of Signal Processing Through Music: Making Fourier Analysis Concrete for Students. IEEE Signal Process. Mag. 38(3): 73-84 (2021) - [j11]Katherine M. Kinnaird
Automatic Hierarchy Expansion for Improved Structure and Chord Evaluation. Trans. Int. Soc. Music. Inf. Retr. 4(1): 81-92 (2021) - [c37]Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello
Multi-Task Self-Supervised Pre-Training for Music Classification. ICASSP 2021: 556-560 - [c36]Christopher Ick, Brian McFee:
Sound Event Detection in Urban Audio with Single and Multi-Rate Pcen. ICASSP 2021: 880-884 - [i12]Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang:
Multi-Task Self-Supervised Pre-Training for Music Classification. CoRR abs/2102.03229 (2021) - [i11]Christopher Ick, Brian McFee:
Sound Event Detection in Urban Audio With Single and Multi-Rate PCEN. CoRR abs/2102.03468 (2021) - [i10]Jeffrey Tumminia, Amanda Kuznecov, Sophia Tsilerides, Ilana Weinstein, Brian McFee, Michael Picheny, Aaron R. Kaufman:
Diarization of Legal Proceedings. Identifying and Transcribing Judicial Speech from Recorded Court Audio. CoRR abs/2104.01304 (2021) - 2020
- [j10]Oriol Nieto, Gautham J. Mysore, Cheng-i Wang, Jordan B. L. Smith, Jan Schlüter, Thomas Grill, Brian McFee:
Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications. Trans. Int. Soc. Music. Inf. Retr. 3(1): 246-263 (2020) - [c35]Vincent Lostanlen, Sripathi Sridhar, Brian McFee, Andrew Farnsworth
Learning the Helix Topology of Musical Pitch. ICASSP 2020: 11-15 - [c34]Helena Cuesta, Brian McFee, Emilia Gómez:
Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks. ISMIR 2020: 302-309 - [e1]Julie Cumming, Jin Ha Lee, Brian McFee, Markus Schedl, Johanna Devaney, Cory McKay, Eva Zangerle, Timothy de Reuse:
Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020. 2020, ISBN 978-0-9813537-1-5 [contents] - [i9]Helena Cuesta, Brian McFee, Emilia Gómez:
Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks. CoRR abs/2009.04172 (2020)
2010 – 2019
- 2019
- [j9]Vincent Lostanlen
Per-Channel Energy Normalization: Why and How. IEEE Signal Process. Lett. 26(1): 39-43 (2019) - [j8]Brian McFee
Open-Source Practices for Music Signal Processing Research: Recommendations for Transparent, Sustainable, and Reproducible Audio Research. IEEE Signal Process. Mag. 36(1): 128-137 (2019) - [c33]Christopher J. Tralie, Brian McFee
Enhanced Hierarchical Music Structure Annotations via Feature Level Similarity Fusion. ICASSP 2019: 201-205 - [c32]Magdalena Fuentes, Brian McFee
A Music Structure Informed Downbeat Tracking System Using Skip-chain Conditional Random Fields and Deep Learning. ICASSP 2019: 481-485 - [c31]Brian McFee, Katherine M. Kinnaird:
Improving Structure Evaluation Through Automatic Hierarchy Expansion. ISMIR 2019: 152-158 - [c30]Alice Cohen-Hadria, Mark Cartwright, Brian McFee
Voice Anonymization in Urban Sound Recordings. MLSP 2019: 1-6 - [i8]Christopher J. Tralie, Brian McFee:
Enhanced Hierarchical Music Structure Annotations via Feature Level Similarity Fusion. CoRR abs/1902.01023 (2019) - [i7]Daniela Huppenkothen, Brian McFee, Laura Norén:
Entrofy Your Cohort: A Data Science Approach to Candidate Selection. CoRR abs/1905.03314 (2019) - [i6]Vincent Lostanlen, Sripathi Sridhar, Brian McFee, Andrew Farnsworth, Juan Pablo Bello:
Learning the helix topology of musical pitch. CoRR abs/1910.10246 (2019) - 2018
- [j7]Brian McFee
Adaptive Pooling Operators for Weakly Labeled Sound Event Detection. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2180-2193 (2018) - [c29]Viet Anh Trinh, Brian McFee
Bubble Cooperative Networks for Identifying Important Speech Cues. INTERSPEECH 2018: 1616-1620 - [c28]Magdalena Fuentes, Brian McFee, Hélène C. Crayencour, Slim Essid, Juan Pablo Bello:
Analysis of Common Design Choices in Deep Learning Systems for Downbeat Tracking. ISMIR 2018: 106-112 - [c27]Eric Humphrey, Simon Durand, Brian McFee:
OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition. ISMIR 2018: 438-444 - [i5]Brian McFee, Justin Salamon, Juan Pablo Bello:
Adaptive pooling operators for weakly labeled sound event detection. CoRR abs/1804.10070 (2018) - [i4]Rachel M. Bittner, Brian McFee, Juan Pablo Bello:
Multitask Learning for Fundamental Frequency Estimation in Music. CoRR abs/1809.00381 (2018) - 2017
- [c26]Rachel M. Bittner, Brian McFee, Justin Salamon, Peter Li, Juan Pablo Bello:
Deep Salience Representations for F0 Estimation in Polyphonic Music. ISMIR 2017: 63-70 - [c25]Brian McFee, Juan Pablo Bello:
Structured Training for Large-Vocabulary Chord Recognition. ISMIR 2017: 188-194 - 2016
- [j6]Brian McFee
resampy: efficient sample rate conversion in Python. J. Open Source Softw. 1(8): 125 (2016) - [c24]Brian McFee, Eric J. Humphrey, Julián Urbano:
A Plan for Sustainable MIR Evaluation. ISMIR 2016: 285-291 - 2015
- [c23]Brian McFee, Eric J. Humphrey, Juan Pablo Bello:
A Software Framework for Musical Data Augmentation. ISMIR 2015: 248-254 - [c22]Brian McFee, Oriol Nieto, Juan Pablo Bello:
Hierarchical Evaluation of Segment Boundary Detection. ISMIR 2015: 406-412 - [c21]Brian McFee, Colin Raffel, Dawen Liang, Daniel P. W. Ellis, Matt McVicar, Eric Battenberg, Oriol Nieto:
librosa: Audio and Music Signal Analysis in Python. SciPy 2015: 18-24 - [r1]Markus Schedl, Peter Knees, Brian McFee, Dmitry Bogdanov, Marius Kaminskas:
Music Recommender Systems. Recommender Systems Handbook 2015: 453-492 - 2014
- [j5]Carolina Galleguillos, Brian McFee
Iterative Category Discovery via Multiple Kernel Metric Learning. Int. J. Comput. Vis. 108(1-2): 115-132 (2014) - [j4]Yonatan Vaizman
Codebook-Based Audio Feature Representation for Music Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 22(10): 1483-1493 (2014) - [c20]Brian McFee
Better beat tracking through robust onset aggregation. ICASSP 2014: 2154-2158 - [c19]Brian McFee
Learning to segment songs with ordinal linear discriminant analysis. ICASSP 2014: 5197-5201 - [c18]Zhuo Chen, Brian McFee, Daniel P. W. Ellis:
Speech enhancement by low-rank and convolutive dictionary spectrogram decomposition. INTERSPEECH 2014: 2833-2837 - [c17]Colin Raffel, Brian McFee, Eric J. Humphrey, Justin Salamon, Oriol Nieto, Dawen Liang, Daniel P. W. Ellis:
MIR_EVAL: A Transparent Implementation of Common MIR Metrics. ISMIR 2014: 367-372 - [c16]Brian McFee, Dan Ellis:
Analyzing Song Structure with Spectral Clustering. ISMIR 2014: 405-410 - 2013
- [c15]Daryl Lim, Gert R. G. Lanckriet, Brian McFee:
Robust Structural Metric Learning. ICML (1) 2013: 615-623 - [i3]Yonatan Vaizman, Brian McFee, Gert R. G. Lanckriet:
Codebook based Audio Feature Representation for Music Information Retrieval. CoRR abs/1312.5457 (2013) - 2012
- [b1]Brian McFee:
More like this : machine learning approaches to music similarity. University of California, San Diego, USA, 2012 - [j3]Brian McFee
Learning Content Similarity for Music Recommendation. IEEE Trans. Speech Audio Process. 20(8): 2207-2218 (2012) - [c14]Julián Urbano, J. Stephen Downie, Brian McFee, Markus Schedl:
How Significant is Statistically Significant? The case of Audio Music Similarity and Retrieval. ISMIR 2012: 181-186 - [c13]Brian McFee, Gert R. G. Lanckriet:
Hypergraph Models of Playlist Dialects. ISMIR 2012: 343-348 - [c12]Brian McFee
The million song dataset challenge. WWW (Companion Volume) 2012: 909-916 - 2011
- [j2]Brian McFee, Gert R. G. Lanckriet:
Learning Multi-modal Similarity. J. Mach. Learn. Res. 12: 491-523 (2011) - [j1]Brian McFee
Contextual Object Localization With Multiple Kernel Nearest Neighbor. IEEE Trans. Image Process. 20(2): 570-585 (2011) - [c11]Carolina Galleguillos, Brian McFee
From region similarity to category discovery. CVPR 2011: 2665-2672 - [c10]Brian McFee, Gert R. G. Lanckriet:
Large-scale music similarity search with spatial trees. ISMIR 2011: 55-60 - [c9]Brian McFee, Gert R. G. Lanckriet:
The Natural Language of Playlists. ISMIR 2011: 537-542 - [c8]Amelie Anglade, Òscar Celma, Ben Fields, Paul Lamere, Brian McFee:
WOMRAD: 2nd workshop on music recommendation and discovery. RecSys 2011: 381-382 - [i2]Brian McFee, Luke Barrington, Gert R. G. Lanckriet:
Learning content similarity for music recommendation. CoRR abs/1105.2344 (2011) - 2010
- [c7]Carolina Galleguillos, Brian McFee
Multi-class object localization by combining local contextual interactions. CVPR 2010: 113-120 - [c6]Brian McFee, Gert R. G. Lanckriet:
Metric Learning to Rank. ICML 2010: 775-782 - [c5]Noam Koenigstein, Gert R. G. Lanckriet, Brian McFee, Yuval Shavitt:
Collaborative Filtering Based on P2P Networks. ISMIR 2010: 153-158 - [c4]Brian McFee, Luke Barrington, Gert R. G. Lanckriet:
Learning Similarity from Collaborative Filters. ISMIR 2010: 345-350 - [c3]Brian McFee, Gert R. G. Lanckriet:
Learning similarity in heterogeneous data. Multimedia Information Retrieval 2010: 243-244 - [i1]Brian McFee, Gert R. G. Lanckriet:
Learning Multi-modal Similarity. CoRR abs/1008.5163 (2010)
2000 – 2009
- 2009
- [c2]Brian McFee
Partial order embedding with multiple kernels. ICML 2009: 721-728 - [c1]Brian McFee, Gert R. G. Lanckriet:
Heterogeneous Embedding for Subjective Artist Similarity. ISMIR 2009: 513-518
Coauthor Index
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last updated on 2024-08-06 20:57 CEST by the dblp team
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