Brian McFee

Brian McFee

New York University

H-index: 34

North America-United States

About Brian McFee

Brian McFee, With an exceptional h-index of 34 and a recent h-index of 27 (since 2020), a distinguished researcher at New York University, specializes in the field of machine learning, music information retrieval.

His recent articles reflect a diverse array of research interests and contributions to the field:

Spatial scaper: a library to simulate and augment soundscapes for sound event localization and detection in realistic rooms

Self-Supervised Learning of Multi-level Audio Representations for Music Segmentation

Ask Brian McFee# 2: Working With Multitrack Audio Collections

Foley sound synthesis at the dcase 2023 challenge

A Repetition-based Triplet Mining Approach for Music Segmentation

Total variation in vocals over time

Efficient Evaluation Algorithms for Sound Event Detection

Automatic Recognition of Cascaded Guitar Effects

Brian McFee Information

University

Position

Music and Performing Arts Professions / Center for Data Science

Citations(all)

7865

Citations(since 2020)

5368

Cited By

4517

hIndex(all)

34

hIndex(since 2020)

27

i10Index(all)

55

i10Index(since 2020)

46

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Brian McFee Skills & Research Interests

machine learning

music information retrieval

Top articles of Brian McFee

Title

Journal

Author(s)

Publication Date

Spatial scaper: a library to simulate and augment soundscapes for sound event localization and detection in realistic rooms

arXiv preprint arXiv:2401.12238

Iran R Roman

Christopher Ick

Sivan Ding

Adrian S Roman

Brian McFee

...

2024/1/19

Self-Supervised Learning of Multi-level Audio Representations for Music Segmentation

Morgan Buisson

Brian Mcfee

Slim Essid

Hélène C Crayencour

2024/3/1

Ask Brian McFee# 2: Working With Multitrack Audio Collections

SPOKENWEBLOG

Brian McFee

2023/7/7

Foley sound synthesis at the dcase 2023 challenge

arXiv preprint arXiv:2304.12521

Keunwoo Choi

Jaekwon Im

Laurie Heller

Brian Mcfee

Keisuke Imoto

...

2023/4/25

A Repetition-based Triplet Mining Approach for Music Segmentation

Morgan Buisson

Brian Mcfee

Slim Essid

Helene-Camille Crayencour

2023/11/5

Total variation in vocals over time

Demo Session at 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

Elena Georgieva

Pablo Ripollés

Brian McFee

2023/10/22

Efficient Evaluation Algorithms for Sound Event Detection

Vincent Lostanlen

Brian Mcfee

2023/10/20

Automatic Recognition of Cascaded Guitar Effects

Proceedings of the International Conference on Digital Audio Effects

Jinyue Guo

Brian McFee

2023

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

arXiv preprint arXiv:2309.03337

Christopher Ick

Brian McFee

2023/9/6

Transfer Learning and Bias Correction with Pre-trained Audio Embeddings

Changhong Wang

Gaël Richard

Brian McFee

2023/11

A proposal for foley sound synthesis challenge

arXiv preprint arXiv:2207.10760

Keunwoo Choi

Sangshin Oh

Minsung Kang

Brian McFee

2022/7/21

Learning multi-level representations for hierarchical music structure analysis

Morgan Buisson

Brian Mcfee

Slim Essid

Helene-Camille Crayencour

2022/12/4

Automatic Hierarchy Expansion for Improved Structure and Chord Evaluation

Katherine M Kinnaird

Brian McFee

2021

Music recommendation systems: Techniques, use cases, and challenges

Markus Schedl

Peter Knees

Brian McFee

Dmitry Bogdanov

2021/11/22

Multi-task self-supervised pre-training for music classification

Ho-Hsiang Wu

Chieh-Chi Kao

Qingming Tang

Ming Sun

Brian McFee

...

2021/6/6

Sound event detection in urban audio with single and multi-rate PCEN

Christopher Ick

Brian McFee

2021/6/6

Interactive learning of signal processing through music: making fourier analysis concrete for students

IEEE Signal Processing Magazine

Meinard Müller

Brian McFee

Katherine Kinnaird

2021/4/28

Diarization of legal proceedings. Identifying and transcribing judicial speech from recorded court audio

arXiv preprint arXiv:2104.01304

Jeffrey Tumminia

Amanda Kuznecov

Sophia Tsilerides

Ilana Weinstein

Brian McFee

...

2021/4/3

Multiple f0 estimation in vocal ensembles using convolutional neural networks

arXiv preprint arXiv:2009.04172

Helena Cuesta

Brian McFee

Emilia Gómez

2020/9/9

Entrofy your cohort: A transparent method for diverse cohort selection

Plos one

Daniela Huppenkothen

Brian McFee

Laura Norén

2020/7/27

See List of Professors in Brian McFee University(New York University)

Co-Authors

H-index: 63
Gert Lanckriet

Gert Lanckriet

University of California, San Diego

H-index: 55
Juan P Bello

Juan P Bello

New York University

H-index: 54
Colin Raffel

Colin Raffel

University of North Carolina at Chapel Hill

H-index: 52
Markus Schedl

Markus Schedl

Johannes Kepler Universität Linz

H-index: 31
Peter Knees

Peter Knees

Technische Universität Wien

H-index: 21
Vincent Lostanlen

Vincent Lostanlen

New York University

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