Brian McFee

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 43

Top Topics

Event Detection

Bias Correction

Top Venues

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Morgan Buisson, Brian McFee, Slim Essid, Hélène C. Crayencour
Self-Supervised Learning of Multi-Level Audio Representations for Music Segmentation. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
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 (2024)
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)
Changhong Wang, Gaël Richard, Brian McFee
Transfer Learning and Bias Correction with Pre-trained Audio Embeddings. CoRR (2023)
Christopher Ick, Brian McFee
Leveraging Geometrical Acoustic Simulations of Spatial Room Impulse Responses for Improved Sound Event Detection and Localization. CoRR (2023)
Changhong Wang, Gaël Richard, Brian McFee
Transfer Learning and Bias Correction With Pre-Trained Audio Embeddings. ISMIR (2023)
Morgan Buisson, Brian McFee, Slim Essid, Hélène C. Crayencour
A Repetition-Based Triplet Mining Approach for Music Segmentation. ISMIR (2023)
Keunwoo Choi, Jaekwon Im, Laurie Heller, Brian McFee, Keisuke Imoto, Yuki Okamoto, Mathieu Lagrange, Shinnosuke Takamichi
Foley Sound Synthesis at the DCASE 2023 Challenge. CoRR (2023)
Morgan Buisson, Brian McFee, Slim Essid, Hélène C. Crayencour
Learning Multi-Level Representations for Hierarchical Music Structure Analysis.. ISMIR (2022)
Keunwoo Choi, Sangshin Oh, Minsung Kang, Brian McFee
A Proposal for Foley Sound Synthesis Challenge. CoRR (2022)
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 (2021)
Katherine M. Kinnaird, Brian McFee
Automatic Hierarchy Expansion for Improved Structure and Chord Evaluation. Trans. Int. Soc. Music. Inf. Retr. 4 (1) (2021)
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. ICASSP (2021)
Christopher Ick, Brian McFee
Sound Event Detection in Urban Audio with Single and Multi-Rate Pcen. ICASSP (2021)
Meinard Müller, Brian McFee, Katherine M. Kinnaird
Interactive Learning of Signal Processing Through Music: Making Fourier Analysis Concrete for Students. IEEE Signal Process. Mag. 38 (3) (2021)
Christopher Ick, Brian McFee
Sound Event Detection in Urban Audio With Single and Multi-Rate PCEN. CoRR (2021)
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 (2021)
Helena Cuesta, Brian McFee, Emilia Gómez
Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks. ISMIR (2020)
Vincent Lostanlen, Sripathi Sridhar, Brian McFee, Andrew Farnsworth, Juan Pablo Bello
Learning the Helix Topology of Musical Pitch. ICASSP (2020)
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) (2020)
Helena Cuesta, Brian McFee, Emilia Gómez
Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks. CoRR (2020)
Alice Cohen-Hadria, Mark Cartwright, Brian McFee, Juan Pablo Bello
Voice Anonymization in Urban Sound Recordings. MLSP (2019)
Brian McFee, Katherine M. Kinnaird
Improving Structure Evaluation Through Automatic Hierarchy Expansion. ISMIR (2019)
Christopher J. Tralie, Brian McFee
Enhanced Hierarchical Music Structure Annotations via Feature Level Similarity Fusion. ICASSP (2019)
Vincent Lostanlen, Sripathi Sridhar, Brian McFee, Andrew Farnsworth, Juan Pablo Bello
Learning the helix topology of musical pitch. CoRR (2019)
Christopher J. Tralie, Brian McFee
Enhanced Hierarchical Music Structure Annotations via Feature Level Similarity Fusion. CoRR (2019)
Vincent Lostanlen, Justin Salamon, Mark Cartwright, Brian McFee, Andrew Farnsworth, Steve Kelling, Juan Pablo Bello
Per-Channel Energy Normalization: Why and How. IEEE Signal Process. Lett. 26 (1) (2019)
Daniela Huppenkothen, Brian McFee, Laura Norén
Entrofy Your Cohort: A Data Science Approach to Candidate Selection. CoRR (2019)
Magdalena Fuentes, Brian McFee, Hélène C. Crayencour, Slim Essid, Juan Pablo Bello
A Music Structure Informed Downbeat Tracking System Using Skip-chain Conditional Random Fields and Deep Learning. ICASSP (2019)
Brian McFee, Jong Wook Kim, Mark Cartwright, Justin Salamon, Rachel M. Bittner, Juan Pablo Bello
Open-Source Practices for Music Signal Processing Research: Recommendations for Transparent, Sustainable, and Reproducible Audio Research. IEEE Signal Process. Mag. 36 (1) (2019)
Brian McFee, Justin Salamon, Juan Pablo Bello
Adaptive Pooling Operators for Weakly Labeled Sound Event Detection. IEEE ACM Trans. Audio Speech Lang. Process. 26 (11) (2018)
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)
Eric Humphrey, Simon Durand, Brian McFee
OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition. ISMIR (2018)
Brian McFee, Justin Salamon, Juan Pablo Bello
Adaptive pooling operators for weakly labeled sound event detection. CoRR (2018)
Rachel M. Bittner, Brian McFee, Juan Pablo Bello
Multitask Learning for Fundamental Frequency Estimation in Music. CoRR (2018)
Viet Anh Trinh, Brian McFee, Michael I. Mandel
Bubble Cooperative Networks for Identifying Important Speech Cues. INTERSPEECH (2018)
Brian McFee, Juan Pablo Bello
Structured Training for Large-Vocabulary Chord Recognition. ISMIR (2017)
Rachel M. Bittner, Brian McFee, Justin Salamon, Peter Li, Juan Pablo Bello
Deep Salience Representations for F0 Estimation in Polyphonic Music. ISMIR (2017)
Brian McFee
resampy: efficient sample rate conversion in Python. J. Open Source Softw. 1 (8) (2016)
Brian McFee, Eric J. Humphrey, Julián Urbano
A Plan for Sustainable MIR Evaluation. ISMIR (2016)
Brian McFee, Eric J. Humphrey, Juan Pablo Bello
A Software Framework for Musical Data Augmentation. ISMIR (2015)
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)
Brian McFee, Oriol Nieto, Juan Pablo Bello
Hierarchical Evaluation of Segment Boundary Detection. ISMIR (2015)
Zhuo Chen, Brian McFee, Daniel P. W. Ellis
Speech enhancement by low-rank and convolutive dictionary spectrogram decomposition. INTERSPEECH (2014)
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)
Brian McFee, Dan Ellis
Analyzing Song Structure with Spectral Clustering. ISMIR (2014)
Yonatan Vaizman, Brian McFee, Gert R. G. Lanckriet
Codebook-Based Audio Feature Representation for Music Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 22 (10) (2014)
Brian McFee, Daniel P. W. Ellis
Better beat tracking through robust onset aggregation. ICASSP (2014)
Brian McFee, Daniel P. W. Ellis
Learning to segment songs with ordinal linear discriminant analysis. ICASSP (2014)
Carolina Galleguillos, Brian McFee, Gert R. G. Lanckriet
Iterative Category Discovery via Multiple Kernel Metric Learning. Int. J. Comput. Vis. 108 (1-2) (2014)
Daryl Lim, Gert R. G. Lanckriet, Brian McFee
Robust Structural Metric Learning. ICML (1) (2013)
Yonatan Vaizman, Brian McFee, Gert R. G. Lanckriet
Codebook based Audio Feature Representation for Music Information Retrieval. CoRR (2013)
Brian McFee, Luke Barrington, Gert R. G. Lanckriet
Learning Content Similarity for Music Recommendation. IEEE Trans. Speech Audio Process. 20 (8) (2012)
Julián Urbano, J. Stephen Downie, Brian McFee, Markus Schedl
How Significant is Statistically Significant? The case of Audio Music Similarity and Retrieval. ISMIR (2012)
Brian McFee, Thierry Bertin-Mahieux, Daniel P. W. Ellis, Gert R. G. Lanckriet
The million song dataset challenge. WWW (Companion Volume) (2012)
Brian McFee, Gert R. G. Lanckriet
Hypergraph Models of Playlist Dialects. ISMIR (2012)
Brian McFee, Gert R. G. Lanckriet
Learning Multi-modal Similarity. J. Mach. Learn. Res. 12 (2011)
Amelie Anglade, Òscar Celma, Ben Fields, Paul Lamere, Brian McFee
WOMRAD: 2nd workshop on music recommendation and discovery. RecSys (2011)
Brian McFee, Gert R. G. Lanckriet
Large-scale music similarity search with spatial trees. ISMIR (2011)
Brian McFee, Carolina Galleguillos, Gert R. G. Lanckriet
Contextual Object Localization With Multiple Kernel Nearest Neighbor. IEEE Trans. Image Process. 20 (2) (2011)
Brian McFee, Gert R. G. Lanckriet
The Natural Language of Playlists. ISMIR (2011)
Brian McFee, Luke Barrington, Gert R. G. Lanckriet
Learning content similarity for music recommendation CoRR (2011)
Carolina Galleguillos, Brian McFee, Serge J. Belongie, Gert R. G. Lanckriet
From region similarity to category discovery. CVPR (2011)
Noam Koenigstein, Gert R. G. Lanckriet, Brian McFee, Yuval Shavitt
Collaborative Filtering Based on P2P Networks. ISMIR (2010)
Carolina Galleguillos, Brian McFee, Serge J. Belongie, Gert R. G. Lanckriet
Multi-class object localization by combining local contextual interactions. CVPR (2010)
Brian McFee, Gert R. G. Lanckriet
Metric Learning to Rank. ICML (2010)
Brian McFee, Gert R. G. Lanckriet
Learning similarity in heterogeneous data. Multimedia Information Retrieval (2010)
Brian McFee, Luke Barrington, Gert R. G. Lanckriet
Learning Similarity from Collaborative Filters. ISMIR (2010)
Brian McFee, Gert R. G. Lanckriet
Learning Multi-modal Similarity CoRR (2010)
Brian McFee, Gert R. G. Lanckriet
Partial order embedding with multiple kernels. ICML (2009)
Brian McFee, Gert R. G. Lanckriet
Heterogeneous Embedding for Subjective Artist Similarity. ISMIR (2009)