| 2025 | CHI | Demonstrating Diff-MSTC: A Controllable and Context-Aware AI System for Multitrack Mixing in Digital Audio Workstation Cubase. | Soumya Sai Vanka, Jean-Baptiste Rolland, Gyrgy Fazekas |
| 2025 | ICASSP | Leave-One-EquiVariant: Alleviating Invariance-Related Information Loss in Contrastive Music Representations. | Julien Guinot, Elio Quinton, Gyrgy Fazekas |
| 2025 | ICASSP | Music2Latent2: Audio Compression with Summary Embeddings and Autoregressive Decoding. | Marco Pasini, Stefan Lattner, Gyrgy Fazekas |
| 2025 | ICASSP | Towards An Integrated Approach for Expressive Piano Performance Synthesis from Music Scores. | Jingjing Tang, Erica Cooper, Xin Wang, Junichi Yamagishi, Gyrgy Fazekas |
| 2025 | IJCNN | Position Paper: Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks. | Christos Plachouras, Julien Guinot, Gyrgy Fazekas, Elio Quinton, Emmanouil Benetos, Johan Pauwels |
| 2025 | IJCNN | Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music Generation. | Jincheng Zhang, Gyrgy Fazekas, Charalampos Saitis |
| 2024 | IC3K | Knowledge Discovery in Optical Music Recognition: Enhancing Information Retrieval with Instance Segmentation. | Elona Shatri, Gyrgy Fazekas |
| 2024 | Interspeech | Differentiable Time-Varying Linear Prediction in the Context of End-to-End Analysis-by-Synthesis. | Chin-Yun Yu, Gyrgy Fazekas |
| 2023 | EvoMUSART | SketchSynth: Cross-Modal Control of Sound Synthesis. | Sebastian Lbbers, Louise Thorpe, Gyrgy Fazekas |
| 2023 | ICASSP | Rigid-Body Sound Synthesis with Differentiable Modal Resonators. | Rodrigo Diaz, Ben Hayes, Charalampos Saitis, Gyrgy Fazekas, Mark B. Sandler |
| 2023 | ICASSP | Sinusoidal Frequency Estimation by Gradient Descent. | Ben Hayes, Charalampos Saitis, Gyrgy Fazekas |
| 2023 | ICASSP | HIPI: A Hierarchical Performer Identification Model Based on Symbolic Representation of Music. | Syed Rifat Mahmud Rafee, Gyrgy Fazekas, Geraint A. Wiggins |
| 2023 | ICASSP | Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution. | Chin-Yun Yu, Sung-Lin Yeh, Gyrgy Fazekas, Hao Tang |
| 2023 | ICLR | The Responsibility Problem in Neural Networks with Unordered Targets. | Ben Hayes, Charalampos Saitis, Gyrgy Fazekas |
| 2022 | ICASSP | Learning Music Audio Representations Via Weak Language Supervision. | Ilaria Manco, Emmanouil Benetos, Elio Quinton, Gyrgy Fazekas |
| 2022 | ICASSP | Violinist Identification Using Note-Level Timbre Feature Distributions. | Yudong Zhao, Gyrgy Fazekas, Mark B. Sandler |
| 2021 | IJCNN | MusCaps: Generating Captions for Music Audio. | Ilaria Manco, Emmanouil Benetos, Elio Quinton, Gyrgy Fazekas |
| 2021 | IJCNN | A Modulation Front-End for Music Audio Tagging. | Cyrus Vahidi, Charalampos Saitis, Gyrgy Fazekas |
| 2019 | ICASSP | Piano Sustain-pedal Detection Using Convolutional Neural Networks. | Beici Liang, Gyrgy Fazekas, Mark B. Sandler |
| 2019 | IJCNN | Transfer Learning for Piano Sustain-Pedal Detection. | Beici Liang, Gyrgy Fazekas, Mark B. Sandler |
| 2019 | IJCNN | A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor. | Di Sheng, Gyrgy Fazekas |
| 2018 | FRUCT | Towards a Semantic Architecture for the Internet of Musical Things. | Luca Turchet, Fabio Viola, Gyrgy Fazekas, Mathieu Barthet |
| 2018 | FRUCT | C Minor: a Semantic Publish/Subscribe Broker for the Internet of Musical Things. | Fabio Viola, Luca Turchet, Francesco Antoniazzi, Gyrgy Fazekas |
| 2018 | ICASSP | Feature Design Using Audio Decomposition for Intelligent Control of the Dynamic Range Compressor. | Di Sheng, Gyrgy Fazekas |
| 2017 | HCI | The Interaction of Casual Users with Digital Collections of Visual Art. An Exploratory Study of the WikiArt Website. | Lucia Marengo, Gyrgy Fazekas, Anastasios Tombros |
| 2017 | ICASSP | Convolutional recurrent neural networks for music classification. | Keunwoo Choi, Gyrgy Fazekas, Mark B. Sandler, Kyunghyun Cho |
| 2016 | ICASSP | Hybrid music recommender using content-based and social information. | Paulo Chiliguano, Gyrgy Fazekas |
| 2015 | ICASSP | On the use of the tempogram to describe audio content and its application to Music structural segmentation. | Mi Tian, Gyrgy Fazekas, Dawn A. A. Black, Mark B. Sandler |
| 2015 | WWW | Automating Annotation of Media with Linked Data Workflows. | Thomas Wilmering, Kevin R. Page, Gyrgy Fazekas, Simon Dixon, Sean Bechhofer |
| 2013 | ACII | Mood Conductor: Emotion-Driven Interactive Music Performance. | Gyrgy Fazekas, Mathieu Barthet, Mark B. Sandler |
| 2013 | DC | Towards the Representation of Chinese Traditional Music: A State of the Art Review of Music Metadata Standards. | Mi Tian, Gyrgy Fazekas, Dawn A. A. Black, Mark B. Sandler |