Brian McFee

Orcid: 0000-0001-6261-9747

Affiliations:
  • New York University, NY, USA


According to our database1, Brian McFee authored at least 62 papers between 2009 and 2024.

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Bibliography

2024
Spatial Scaper: A Library to Simulate and Augment Soundscapes for Sound Event Localization and Detection in Realistic Rooms.
CoRR, 2024

2023
Leveraging Geometrical Acoustic Simulations of Spatial Room Impulse Responses for Improved Sound Event Detection and Localization.
CoRR, 2023

Foley Sound Synthesis at the DCASE 2023 Challenge.
CoRR, 2023

Transfer Learning and Bias Correction With Pre-Trained Audio Embeddings.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

A Repetition-Based Triplet Mining Approach for Music Segmentation.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

2022
Music Recommendation Systems: Techniques, Use Cases, and Challenges.
Proceedings of the Recommender Systems Handbook, 2022

A Proposal for Foley Sound Synthesis Challenge.
CoRR, 2022

Learning Multi-Level Representations for Hierarchical Music Structure Analysis..
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

2021
Automatic Hierarchy Expansion for Improved Structure and Chord Evaluation.
Trans. Int. Soc. Music. Inf. Retr., 2021

Interactive Learning of Signal Processing Through Music: Making Fourier Analysis Concrete for Students.
IEEE Signal Process. Mag., 2021

Diarization of Legal Proceedings. Identifying and Transcribing Judicial Speech from Recorded Court Audio.
CoRR, 2021

Multi-Task Self-Supervised Pre-Training for Music Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

Sound Event Detection in Urban Audio with Single and Multi-Rate Pcen.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications.
Trans. Int. Soc. Music. Inf. Retr., 2020

Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Learning the Helix Topology of Musical Pitch.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Open-Source Practices for Music Signal Processing Research: Recommendations for Transparent, Sustainable, and Reproducible Audio Research.
IEEE Signal Process. Mag., 2019

Per-Channel Energy Normalization: Why and How.
IEEE Signal Process. Lett., 2019

Entrofy Your Cohort: A Data Science Approach to Candidate Selection.
CoRR, 2019

Voice Anonymization in Urban Sound Recordings.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Improving Structure Evaluation Through Automatic Hierarchy Expansion.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Enhanced Hierarchical Music Structure Annotations via Feature Level Similarity Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Music Structure Informed Downbeat Tracking System Using Skip-chain Conditional Random Fields and Deep Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Adaptive Pooling Operators for Weakly Labeled Sound Event Detection.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Multitask Learning for Fundamental Frequency Estimation in Music.
CoRR, 2018

OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Analysis of Common Design Choices in Deep Learning Systems for Downbeat Tracking.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Bubble Cooperative Networks for Identifying Important Speech Cues.
Proceedings of the Interspeech 2018, 2018

2017
Structured Training for Large-Vocabulary Chord Recognition.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Deep Salience Representations for F0 Estimation in Polyphonic Music.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

2016
resampy: efficient sample rate conversion in Python.
J. Open Source Softw., 2016

A Plan for Sustainable MIR Evaluation.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2015
Music Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2015

librosa: Audio and Music Signal Analysis in Python.
Proceedings of the 14th Python in Science Conference 2015 (SciPy 2015), Austin, Texas, July 6, 2015

Hierarchical Evaluation of Segment Boundary Detection.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

A Software Framework for Musical Data Augmentation.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

2014
Codebook-Based Audio Feature Representation for Music Information Retrieval.
IEEE ACM Trans. Audio Speech Lang. Process., 2014

Iterative Category Discovery via Multiple Kernel Metric Learning.
Int. J. Comput. Vis., 2014

MIR_EVAL: A Transparent Implementation of Common MIR Metrics.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Analyzing Song Structure with Spectral Clustering.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Speech enhancement by low-rank and convolutive dictionary spectrogram decomposition.
Proceedings of the INTERSPEECH 2014, 2014

Learning to segment songs with ordinal linear discriminant analysis.
Proceedings of the IEEE International Conference on Acoustics, 2014

Better beat tracking through robust onset aggregation.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Robust Structural Metric Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
More like this : machine learning approaches to music similarity.
PhD thesis, 2012

Learning Content Similarity for Music Recommendation.
IEEE Trans. Speech Audio Process., 2012

The million song dataset challenge.
Proceedings of the 21st World Wide Web Conference, 2012

How Significant is Statistically Significant? The case of Audio Music Similarity and Retrieval.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Hypergraph Models of Playlist Dialects.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

2011
Contextual Object Localization With Multiple Kernel Nearest Neighbor.
IEEE Trans. Image Process., 2011

Learning Multi-modal Similarity.
J. Mach. Learn. Res., 2011

WOMRAD: 2nd workshop on music recommendation and discovery.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

The Natural Language of Playlists.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Large-scale music similarity search with spatial trees.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

From region similarity to category discovery.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Learning similarity in heterogeneous data.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Learning Similarity from Collaborative Filters.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Collaborative Filtering Based on P2P Networks.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Metric Learning to Rank.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Multi-class object localization by combining local contextual interactions.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Heterogeneous Embedding for Subjective Artist Similarity.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Partial order embedding with multiple kernels.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009


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