György Fazekas

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 105

Top Venues

CoRR

ICASSP

ISMIR

Audio Mostly Conference

Queen Mary University of London, UK (PHD)

Education History

Queen Mary University of London, UK

PHD

Publications

Chin-Yun Yu, Johan Pauwels, György Fazekas
Time-of-arrival Estimation and Phase Unwrapping of Head-related Transfer Functions With Integer Linear Programming. CoRR (2024)
Chin-Yun Yu, György Fazekas
Differentiable Time-Varying Linear Prediction in the Context of End-to-End Analysis-by-Synthesis. CoRR (2024)
Chin-Yun Yu, Christopher Mitcheltree, Alistair Carson, Stefan Bilbao, Joshua D. Reiss, György Fazekas
Differentiable All-pole Filters for Time-varying Audio Systems. CoRR (2024)
Ilaria Manco, Benno Weck, Seungheon Doh, Minz Won, Yixiao Zhang, Dmitry Bogdanov, Yusong Wu, Ke Chen, Philip Tovstogan, Emmanouil Benetos, Elio Quinton, György Fazekas, Juhan Nam
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. CoRR (2023)
Chin-Yun Yu, György Fazekas
Singing Voice Synthesis Using Differentiable LPC and Glottal-Flow-Inspired Wavetables. ISMIR (2023)
Ben Hayes, Charalampos Saitis, György Fazekas
The Responsibility Problem in Neural Networks with Unordered Targets. Tiny Papers @ ICLR (2023)
Cyrus Vahidi, Shubhr Singh, Emmanouil Benetos, Huy Phan, Dan Stowell, György Fazekas, Mathieu Lagrange
Perceptual Musical Similarity Metric Learning with Graph Neural Networks. WASPAA (2023)
Syed Rifat Mahmud Rafee, György Fazekas, Geraint A. Wiggins
HIPI: A Hierarchical Performer Identification Model Based on Symbolic Representation of Music. ICASSP (2023)
Soumya Sai Vanka, Maryam Safi, Jean-Baptiste Rolland, György Fazekas
The Role of Communication and Reference Songs in the Mixing Process: Insights from Professional Mix Engineers. CoRR (2023)
Jincheng Zhang, Jingjing Tang, Charalampos Saitis, György Fazekas
Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models. CoRR (2023)
Luca Marinelli, György Fazekas, Charalampos Saitis
Gender-Coded Sound: Analysing the Gendering of Music in Toy Commercials via Multi-Task Learning. ISMIR (2023)
Ben Hayes, Charalampos Saitis, György Fazekas
The Responsibility Problem in Neural Networks with Unordered Targets. CoRR (2023)
Jingjing Tang, Geraint A. Wiggins, György Fazekas
Pianist Identification Using Convolutional Neural Networks. CoRR (2023)
Rodrigo Diaz, Ben Hayes, Charalampos Saitis, György Fazekas, Mark B. Sandler
Rigid-Body Sound Synthesis with Differentiable Modal Resonators. ICASSP (2023)
Chin-Yun Yu, Sung-Lin Yeh, György Fazekas, Hao Tang
Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution. ICASSP (2023)
Miguel Ceriani, Fabio Viola, Sasa Rudan, Francesco Antoniazzi, Mathieu Barthet, György Fazekas
Semantic integration of audio content providers through the Audio Commons Ontology. J. Web Semant. 77 (2023)
Ben Hayes, Jordie Shier, György Fazekas, Andrew P. McPherson, Charalampos Saitis
A Review of Differentiable Digital Signal Processing for Music & Speech Synthesis. CoRR (2023)
James Bolt, György Fazekas
Supervised Contrastive Learning For Musical Onset Detection. Audio Mostly Conference (2023)
Chin-Yun Yu, Emilian Postolache, Emanuele Rodolà, György Fazekas
Zero-Shot Duet Singing Voices Separation with Diffusion Models. CoRR (2023)
Sebastian Löbbers, Mathieu Barthet, György Fazekas
AI as mediator between composers, sound designers, and creative media producers. CoRR (2023)
Jincheng Zhang, György Fazekas, Charalampos Saitis
Fast Diffusion GAN Model for Symbolic Music Generation Controlled by Emotions. CoRR (2023)
Ben Hayes, Charalampos Saitis, György Fazekas
Sinusoidal Frequency Estimation by Gradient Descent. ICASSP (2023)
Luca Turchet, Mathieu Lagrange, Cristina Rottondi, György Fazekas, Nils Peters, Jan Østergaard, Frederic Font, Tom Bäckström, Carlo Fischione
The Internet of Sounds: Convergent Trends, Insights, and Future Directions. IEEE Internet Things J. 10 (13) (2023)
Cyrus Vahidi, Han Han, Changhong Wang, Mathieu Lagrange, György Fazekas, Vincent Lostanlen
Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis. CoRR (2023)
Chin-Yun Yu, György Fazekas
Singing Voice Synthesis Using Differentiable LPC and Glottal-Flow-Inspired Wavetables. CoRR (2023)
Sebastian Löbbers, Louise Thorpe, György Fazekas
SketchSynth: Cross-Modal Control of Sound Synthesis. EvoMUSART@EvoStar (2023)
Yudong Zhao, György Fazekas, Mark B. Sandler
Violinist Identification Using Note-Level Timbre Feature Distributions. ICASSP (2022)
Ben Hayes, Charalampos Saitis, György Fazekas
Sinusoidal Frequency Estimation by Gradient Descent. CoRR (2022)
Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas
Contrastive Audio-Language Learning for Music. CoRR (2022)
Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas
Learning Music Audio Representations Via Weak Language Supervision. ICASSP (2022)
Polina Proutskova, Daniel Wolff, György Fazekas, Klaus Frieler, Frank Höger, Olga Velichkina, Gabriel Solis, Tillman Weyde, Martin Pfleiderer, Hélène Camille Crayencour, Geoffroy Peeters, Simon Dixon
The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. J. Web Semant. 74 (2022)
Yudong Zhao, György Fazekas, Mark Sandler
Transfer Learning for Violinist Identification. EUSIPCO (2022)
Chin-Yun Yu, Sung-Lin Yeh, György Fazekas, Hao Tang
Conditioning and Sampling in Variational Diffusion Models for Speech Super-resolution. CoRR (2022)
Rodrigo Diaz, Ben Hayes, Charalampos Saitis, György Fazekas, Mark Sandler
Rigid-Body Sound Synthesis with Differentiable Modal Resonators. CoRR (2022)
Luca Turchet, Paolo Bouquet, Andrea Molinari, György Fazekas
The Smart Musical Instruments Ontology. J. Web Semant. 72 (2022)
Sebastian Löbbers, György Fazekas
Seeing Sounds, Hearing Shapes: a gamified study to evaluate sound-sketches. CoRR (2022)
Sebastian Löbbers, Mathieu Barthet, György Fazekas
Sketching sounds: an exploratory study on sound-shape associations. CoRR (2021)
Yudong Zhao, Changhong Wang, György Fazekas, Emmanouil Benetos, Mark B. Sandler
Violinist identification based on vibrato features. EUSIPCO (2021)
Elona Shatri, György Fazekas
DoReMi: First glance at a universal OMR dataset. CoRR (2021)
Ben Hayes, Charalampos Saitis, György Fazekas
Neural Waveshaping Synthesis. ISMIR (2021)
Cyrus Vahidi, Charalampos Saitis, György Fazekas
A Modulation Front-End for Music Audio Tagging. CoRR (2021)
Ben Hayes, Charalampos Saitis, György Fazekas
Neural Waveshaping Synthesis. CoRR (2021)
Syed Rifat Mahmud Rafee, György Fazekas, Geraint A. Wiggins
Performer Identification From Symbolic Representation of Music Using Statistical Models. CoRR (2021)
Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas
Learning music audio representations via weak language supervision. CoRR (2021)
Cyrus Vahidi, Charalampos Saitis, György Fazekas
A Modulation Front-End for Music Audio Tagging. IJCNN (2021)
Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas
MusCaps: Generating Captions for Music Audio. CoRR (2021)
Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas
MusCaps: Generating Captions for Music Audio. IJCNN (2021)
Beici Liang, György Fazekas, Mark B. Sandler
Transfer Learning for Piano Sustain-Pedal Detection. CoRR (2021)
Polina Proutskova, Anja Volk, Peyman Heydarian, György Fazekas
From Music Ontology towards Ethno-Music-Ontology. ISMIR (2020)
Andrew Thompson, György Fazekas, Geraint A. Wiggins
Poster: Programming Practices Among Interactive Audio Software Developers. VL/HCC (2020)
Luca Turchet, Francesco Antoniazzi, Fabio Viola, Fausto Giunchiglia, György Fazekas
The Internet of Musical Things Ontology. J. Web Semant. 60 (2020)
Johan Pauwels, György Fazekas, Mark B. Sandler
A Critical Look at the Applicability of Markov Logic Networks for Music Signal Analysis. CoRR (2020)
Duncan A. H. Williams, Bruno Fazenda, Victoria Williamson, György Fazekas
Biophysiologically synchronous computer generated music improves performance and reduces perceived effort in trail runners. NIME (2020)
Luca Turchet, Johan Pauwels, Carlo Fischione, György Fazekas
Cloud-smart Musical Instrument Interactions: Querying a Large Music Collection with a Smart Guitar. ACM Trans. Internet Things 1 (3) (2020)
Elona Shatri, György Fazekas
Optical Music Recognition: State of the Art and Major Challenges. CoRR (2020)
Luca Turchet, György Fazekas, Mathieu Lagrange, Hossein Shokri Ghadikolaei, Carlo Fischione
The Internet of Audio Things: State of the Art, Vision, and Challenges. IEEE Internet Things J. 7 (10) (2020)
Duncan Williams, Bruno Fazenda, Victoria Williamson, György Fazekas
On Performance and Perceived Effort in Trail Runners Using Sensor Control to Generate Biosynchronous Music. Sensors 20 (16) (2020)
Gary Bromham, David Moffat, Mathieu Barthet, Anne Danielsen, György Fazekas
The Impact of Audio Effects Processing on the Perception of Brightness and Warmth. Audio Mostly Conference (2019)
Di Sheng, György Fazekas
A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor. CoRR (2019)
Beici Liang, György Fazekas, Mark B. Sandler
Transfer Learning for Piano Sustain-Pedal Detection. IJCNN (2019)
Di Sheng, György Fazekas
A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor. IJCNN (2019)
Andrew Thompson, György Fazekas
A Model-View-Update Framework for Interactive Web Audio Applications. Audio Mostly Conference (2019)
Beici Liang, György Fazekas, Mark B. Sandler
Piano Sustain-pedal Detection Using Convolutional Neural Networks. ICASSP (2019)
Anna Xambó, Gerard Roma, Alexander Lerch, Mathieu Barthet, György Fazekas
Live Repurposing of Sounds: MIR Explorations with Personal and Crowdsourced Databases. NIME (2018)
Anna Xambó, Johan Pauwels, Gerard Roma, Mathieu Barthet, György Fazekas
Jam with Jamendo: Querying a Large Music Collection by Chords from a Learner's Perspective. Audio Mostly Conference (2018)
Di Sheng, György Fazekas
Feature Design Using Audio Decomposition for Intelligent Control of the Dynamic Range Compressor. ICASSP (2018)
Beici Liang, György Fazekas, Mark B. Sandler
Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure. EUSIPCO (2018)
Luca Turchet, Fabio Viola, György Fazekas, Mathieu Barthet
Towards a Semantic Architecture for the Internet of Musical Things. FRUCT (2018)
Miguel Ceriani, György Fazekas
Audio Commons Ontology: A Data Model for an Audio Content Ecosystem. ISWC (2) (2018)
Fabio Viola, Luca Turchet, Francesco Antoniazzi, György Fazekas
C Minor: a Semantic Publish/Subscribe Broker for the Internet of Musical Things. FRUCT (2018)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. EUSIPCO (2018)
Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging. IEEE Trans. Emerg. Top. Comput. Intell. 2 (2) (2018)
Fabio Viola, Ariane Stolfi, Alessia Milo, Miguel Ceriani, Mathieu Barthet, György Fazekas
Playsound.space: enhancing a live music performance tool with semantic recommendations. SAAM@ISWC (2018)
Lucia Marengo, György Fazekas, Anastasios Tombros
The Interaction of Casual Users with Digital Collections of Visual Art. An Exploratory Study of the WikiArt Website. HCI (30) (2017)
Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
A Tutorial on Deep Learning for Music Information Retrieval. CoRR (2017)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
Convolutional recurrent neural networks for music classification. ICASSP (2017)
Johan Pauwels, Ken O'Hanlon, György Fazekas, Mark B. Sandler
Confidence Measures and Their Applications in Music Labelling Systems Based on Hidden Markov Models. ISMIR (2017)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
Transfer Learning for Music Classification and Regression Tasks. ISMIR (2017)
Beici Liang, György Fazekas, Andrew P. McPherson, Mark B. Sandler
Piano pedaller: a measurement system for classification and visualisation of piano pedalling techniques. NIME (2017)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
Transfer learning for music classification and regression tasks. CoRR (2017)
Beici Liang, György Fazekas, Mark B. Sandler
Recognition of Piano Pedalling Techniques Using Gesture Data. Audio Mostly Conference (2017)
Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
On the Robustness of Deep Convolutional Neural Networks for Music Classification. CoRR (2017)
Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
A Comparison on Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. CoRR (2017)
Sean Bechhofer, Kevin R. Page, David M. Weigl, György Fazekas, Thomas Wilmering
Linked Data Publication of Live Music Archives and Analyses. ISWC (2) (2017)
Kevin R. Page, Sean Bechhofer, György Fazekas, David M. Weigl, Thomas Wilmering
Realising a Layered Digital Library: Exploration and Analysis of the Live Music Archive through Linked Data. JCDL (2017)
Florian Thalmann, Alfonso Pérez Carrillo, György Fazekas, Geraint A. Wiggins, Mark B. Sandler
The Mobile Audio Ontology: Experiencing Dynamic Music Objects on Mobile Devices. ICSC (2016)
Michele Buccoli, Massimiliano Zanoni, György Fazekas, Augusto Sarti, Mark B. Sandler
A Higher-Dimensional Expansion of Affective Norms for English Terms for Music Tagging. ISMIR (2016)
Florian Thalmann, György Fazekas, Geraint A. Wiggins, Mark B. Sandler
Creating, Visualizing, and Analyzing Dynamic Music Objects in the Browser with the Dymo Designer. Audio Mostly Conference (2016)
Paulo Chiliguano, György Fazekas
Hybrid music recommender using content-based and social information. ICASSP (2016)
Alo Allik, György Fazekas, Mark B. Sandler
An Ontology for Audio Features. ISMIR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Explaining Deep Convolutional Neural Networks on Music Classification. CoRR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
Convolutional Recurrent Neural Networks for Music Classification. CoRR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Automatic Tagging Using Deep Convolutional Neural Networks. ISMIR (2016)
Alo Allik, György Fazekas, Mark B. Sandler
Ontological Representation of Audio Features. ISWC (2) (2016)
Thomas Wilmering, György Fazekas, Mark B. Sandler
AUFX-O: Novel Methods for the Representation of Audio Processing Workflows. ISWC (2) (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. CoRR (2016)
Ryan Stables, Brecht De Man, Sean Enderby, Joshua D. Reiss, György Fazekas, Thomas Wilmering
Semantic Description of Timbral Transformations in Music Production. ACM Multimedia (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Text-based LSTM networks for Automatic Music Composition. CoRR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Towards Music Captioning: Generating Music Playlist Descriptions. CoRR (2016)
Damir Juric, György Fazekas
Knowledge Extraction from Audio Content Service Providers' API Descriptions. MTSR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

György Fazekas