George Fazekas

George Fazekas

Queen Mary University of London

H-index: 31

Europe-United Kingdom

About George Fazekas

George Fazekas, With an exceptional h-index of 31 and a recent h-index of 25 (since 2020), a distinguished researcher at Queen Mary University of London, specializes in the field of semantic audio, music information retrieval, semantic web, music emotion recognition, deep learning.

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

A Comparative Analysis of Different Pitch and Metrical Grid Encoding Methods in the Task of Sequential Music Generation

The responsibility problem in neural networks with unordered targets

Hipi: A hierarchical performer identification model based on symbolic representation of music

ATEPP: A dataset of automatically transcribed expressive piano performance

Pianist Identification Using Convolutional Neural Networks

Mesostructures: Beyond spectrogram loss in differentiable time-frequency analysis

SketchSynth: Cross-Modal Control of Sound Synthesis

Conditioning and sampling in variational diffusion models for speech super-resolution

George Fazekas Information

University

Position

___

Citations(all)

4324

Citations(since 2020)

2945

Cited By

2425

hIndex(all)

31

hIndex(since 2020)

25

i10Index(all)

86

i10Index(since 2020)

58

Email

University Profile Page

Queen Mary University of London

Google Scholar

View Google Scholar Profile

George Fazekas Skills & Research Interests

semantic audio

music information retrieval

semantic web

music emotion recognition

deep learning

Top articles of George Fazekas

Title

Journal

Author(s)

Publication Date

A Comparative Analysis of Different Pitch and Metrical Grid Encoding Methods in the Task of Sequential Music Generation

arXiv preprint arXiv:2301.13383

Yuqiang Li

Shengchen Li

George Fazekas

2023/1/31

The responsibility problem in neural networks with unordered targets

arXiv preprint arXiv:2304.09499

Ben Hayes

Charalampos Saitis

György Fazekas

2023/4/19

Hipi: A hierarchical performer identification model based on symbolic representation of music

Syed Rifat Mahmud Rafee

György Fazekas

Geraint Wiggins

2023/6/4

ATEPP: A dataset of automatically transcribed expressive piano performance

Huan Zhang

Jingjing Tang

Syed Rafee

Simon Dixon

George Fazekas

...

2023/7/14

Pianist Identification Using Convolutional Neural Networks

Jingjing Tang

Geraint Wiggins

György Fazekas

2023/10/26

Mesostructures: Beyond spectrogram loss in differentiable time-frequency analysis

Journal of the Audio Engineering Society

Cyrus Vahidi

Han Han

Changhong Wang

Mathieu Lagrange

György Fazekas

...

2023/6

SketchSynth: Cross-Modal Control of Sound Synthesis

Sebastian Löbbers

Louise Thorpe

György Fazekas

2023/4/1

Conditioning and sampling in variational diffusion models for speech super-resolution

Chin-Yun Yu

Sung-Lin Yeh

György Fazekas

Hao Tang

2023/6/4

Semantic integration of audio content providers through the audio commons ontology

Journal of Web Semantics

Miguel Ceriani

Fabio Viola

Saša Rudan

Francesco Antoniazzi

Mathieu Barthet

...

2023/7/1

General Purpose Audio Effect Removal

Matthew Rice

Christian J Steinmetz

George Fazekas

Joshua D Reiss

2023/10/22

Human-centred computer audition: sound, music, and healthcare

Frontiers in Digital Health

Kun Qian

Gyorgy Fazekas

Shengchen Li

Zijin Li

Björn W Schuller

2023

The internet of sounds: Convergent trends, insights and future directions

IEEE Internet of Things Journal

Luca Turchet

Mathieu Lagrange

Cristina Rottondi

György Fazekas

Nils Peters

...

2023/3/7

Sinusoidal frequency estimation by gradient descent

Ben Hayes

Charalampos Saitis

György Fazekas

2023/6/4

Singing Voice Synthesis Using Differentiable LPC and Glottal-Flow-Inspired Wavetables

arXiv preprint arXiv:2306.17252

Chin-Yun Yu

György Fazekas

2023/6/29

Perceptual musical similarity metric learning with graph neural networks

Cyrus Vahidi

Shubhr Singh

Emmanouil Benetos

Huy Phan

Dan Stowell

...

2023/10/22

Self-Supervised Music Source Separation Using Vector-Quantized Source Category Estimates

arXiv preprint arXiv:2311.13058

Marco Pasini

Stefan Lattner

George Fazekas

2023/11/21

AI as mediator between composers, sound designers, and creative media producers

arXiv preprint arXiv:2303.01457

Sebastian Löbbers

Mathieu Barthet

György Fazekas

2023/3/2

Rigid-body sound synthesis with differentiable modal resonators

Rodrigo Diaz

Ben Hayes

Charalampos Saitis

György Fazekas

Mark Sandler

2023/6/4

Gender-Coded Sound: Analysing the Gendering of Music in Toy Commercials via Multi-Task Learning

Luca Marinelli

György Fazekas

Charalampos Saitis

2023

The Role of Communication and Reference Songs in the Mixing Process: Insights from Professional Mix Engineers

arXiv preprint arXiv:2309.03404

Soumya Sai Vanka

Maryam Safi

Jean-Baptiste Rolland

György Fazekas

2023/9/6

See List of Professors in George Fazekas University(Queen Mary University of London)

Co-Authors

H-index: 98
Kyunghyun Cho

Kyunghyun Cho

New York University

H-index: 55
Mark Sandler

Mark Sandler

Queen Mary University of London

H-index: 54
Simon Dixon

Simon Dixon

Queen Mary University of London

H-index: 48
Geraint Wiggins

Geraint Wiggins

Vrije Universiteit Brussel

H-index: 47
Carlo Fischione

Carlo Fischione

Kungliga Tekniska högskolan

H-index: 41
Joshua D. Reiss

Joshua D. Reiss

Queen Mary University of London

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