György Fazekas

171 papers A* 1A 1B 9C 1Misc 16Journal 66Unranked 73

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerating Automatic Differentiation of Direct Form Digital Filters. CoRR Chin-Yun Yu, György Fazekas
2025	—	`conf`	Audio synthesizer inversion in symmetric parameter spaces with approximately equivariant flow matching. ISMIR Ben Hayes, Charalampos Saitis, György Fazekas
2025	J	`jnl`	Audio synthesizer inversion in symmetric parameter spaces with approximately equivariant flow matching. CoRR Ben Hayes, Charalampos Saitis, György Fazekas
2025	—	`conf`	Demonstrating Diff-MSTC: A Controllable and Context-Aware AI System for Multitrack Mixing in Digital Audio Workstation Cubase. CHI Extended Abstracts Soumya Sai Vanka, Jean-Baptiste Rolland, György Fazekas
2025	J	`jnl`	DiffVox: A Differentiable Model for Capturing and Analysing Professional Effects Distributions. CoRR Chin-Yun Yu, Marco A. Martínez Ramírez, Junghyun Koo, Ben Hayes, Wei-Hsiang Liao, György Fazekas, Yuki Mitsufuji
2025	J	`jnl`	GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models. CoRR Julien Guinot, Elio Quinton, György Fazekas
2025	—	`conf`	Improving Inference-Time Optimisation for Vocal Effects Style Transfer with a Gaussian Prior. WASPAA Chin-Yun Yu, Marco A. Martínez Ramírez, Junghyun Koo, Wei-Hsiang Liao, Yuki Mitsufuji, György Fazekas
2025	J	`jnl`	Improving Inference-Time Optimisation for Vocal Effects Style Transfer with a Gaussian Prior. CoRR Chin-Yun Yu, Marco A. Martínez Ramírez, Junghyun Koo, Wei-Hsiang Liao, Yuki Mitsufuji, György Fazekas
2025	Misc	`conf`	Leave-One-EquiVariant: Alleviating Invariance-Related Information Loss in Contrastive Music Representations. ICASSP Julien Guinot, Elio Quinton, György Fazekas
2025	C	`conf`	Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach. IPAS Elona Shatri, Daniel Raymond, György Fazekas
2025	B	`conf`	Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music Generation. IJCNN Jincheng Zhang, György Fazekas, Charalampos Saitis
2025	J	`jnl`	Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music Generation. CoRR Jincheng Zhang, György Fazekas, Charalampos Saitis
2025	Misc	`conf`	Music2Latent2: Audio Compression with Summary Embeddings and Autoregressive Decoding. ICASSP Marco Pasini, Stefan Lattner, György Fazekas
2025	B	`conf`	Position Paper: Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks. IJCNN Christos Plachouras, Julien Guinot, György Fazekas, Elio Quinton, Emmanouil Benetos, Johan Pauwels
2025	J	`jnl`	SLAP: Siamese Language-Audio Pretraining Without Negative Samples for Music Understanding. CoRR Julien Guinot, Alain Riou, Elio Quinton, György Fazekas
2025	J	`jnl`	Sound Matching an Analogue Levelling Amplifier Using the Newton-Raphson Method. CoRR Chin-Yun Yu, György Fazekas
2025	Misc	`conf`	Towards An Integrated Approach for Expressive Piano Performance Synthesis from Music Scores. ICASSP Jingjing Tang, Erica Cooper, Xin Wang, Junichi Yamagishi, György Fazekas
2024	—	`conf`	Composer Style-Specific Symbolic Music Generation using Vector Quantized Discrete Diffusion Models. MLSP Jincheng Zhang, György Fazekas, Charalampos Saitis
2024	J	`jnl`	Composers' Evaluations of an AI Music Tool: Insights for Human-Centred Design. CoRR Eleanor Row, György Fazekas
2024	J	`jnl`	Differentiable All-pole Filters for Time-varying Audio Systems. CoRR Chin-Yun Yu, Christopher Mitcheltree, Alistair Carson, Stefan Bilbao, Joshua D. Reiss, György Fazekas
2024	A	`conf`	Differentiable Time-Varying Linear Prediction in the Context of End-to-End Analysis-by-Synthesis. INTERSPEECH Chin-Yun Yu, György Fazekas
2024	J	`jnl`	Differentiable Time-Varying Linear Prediction in the Context of End-to-End Analysis-by-Synthesis. CoRR Chin-Yun Yu, György Fazekas
2024	J	`jnl`	Exploring Transformer-Based Music Overpainting for Jazz Piano Variations. CoRR Eleanor Row, Ivan Shanin, György Fazekas
2024	J	`jnl`	Foundation Models for Music: A Survey. CoRR Yinghao Ma, Anders Øland, Anton Ragni, Bleiz Macsen Del Sette, Charalampos Saitis, Chris Donahue, Chenghua Lin, Christos Plachouras, Emmanouil Benetos, Elio Quinton, Elona Shatri, Fabio Morreale, Ge Zhang, György Fazekas, Gus Xia, Huan Zhang, Ilaria Manco, Jiawen Huang, Julien Guinot, Liwei Lin, Luca Marinelli, Max W. Y. Lam, Megha Sharma, Qiuqiang Kong, Roger B. Dannenberg, Ruibin Yuan, Shangda Wu, Shih-Lun Wu, Shuqi Dai, Shun Lei, Shiyin Kang, Simon Dixon, Wenhu Chen, Wenhao Huang, Xingjian Du, Xingwei Qu, Xu Tan, Yizhi Li, Zeyue Tian, Zhiyong Wu, Zhizheng Wu, Ziyang Ma, Ziyu Wang
2024	J	`jnl`	GOLF: A Singing Voice Synthesiser with Glottal Flow Wavetables and LPC Filters. Trans. Int. Soc. Music. Inf. Retr. Chin-Yun Yu, György Fazekas
2024	—	`conf`	Knowledge Discovery in Optical Music Recognition: Enhancing Information Retrieval with Instance Segmentation. KDIR Elona Shatri, György Fazekas
2024	J	`jnl`	Leave-One-EquiVariant: Alleviating invariance-related information loss in contrastive music representations. CoRR Julien Guinot, Elio Quinton, György Fazekas
2024	—	`conf`	Multi-Signal Informed Attention for Beat and Downbeat Detection. IS2 James Bolt, Johan Pauwels, György Fazekas
2024	B	`conf`	Synthesising Handwritten Music with GANs: A Comprehensive Evaluation of CycleWGAN, ProGAN, and DCGAN. IEEE Big Data Elona Shatri, Kalikidhar Reddy Palavala, György Fazekas
2024	J	`jnl`	Tidal MerzA: Combining affective modelling and autonomous code generation through Reinforcement Learning. CoRR Elizabeth Wilson, György Fazekas, Geraint A. Wiggins
2024	J	`jnl`	Time-of-arrival Estimation and Phase Unwrapping of Head-related Transfer Functions With Integer Linear Programming. CoRR Chin-Yun Yu, Johan Pauwels, György Fazekas
2023	J	`jnl`	A Review of Differentiable Digital Signal Processing for Music & Speech Synthesis. CoRR Ben Hayes, Jordie Shier, György Fazekas, Andrew P. McPherson, Charalampos Saitis
2023	J	`jnl`	AI as mediator between composers, sound designers, and creative media producers. CoRR Sebastian Löbbers, Mathieu Barthet, György Fazekas
2023	J	`jnl`	Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models. CoRR Jincheng Zhang, Jingjing Tang, Charalampos Saitis, György Fazekas
2023	Misc	`conf`	Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution. ICASSP Chin-Yun Yu, Sung-Lin Yeh, György Fazekas, Hao Tang
2023	J	`jnl`	Fast Diffusion GAN Model for Symbolic Music Generation Controlled by Emotions. CoRR Jincheng Zhang, György Fazekas, Charalampos Saitis
2023	—	`conf`	Gender-Coded Sound: Analysing the Gendering of Music in Toy Commercials via Multi-Task Learning. ISMIR Luca Marinelli, György Fazekas, Charalampos Saitis
2023	Misc	`conf`	HIPI: A Hierarchical Performer Identification Model Based on Symbolic Representation of Music. ICASSP Syed Rifat Mahmud Rafee, György Fazekas, Geraint A. Wiggins
2023	—	`conf`	JAZZVAR: A Dataset of Variations Found within Solo Piano Performances of Jazz Standards for Music Overpainting. CMMR Eleanor Row, Jingjing Tang, György Fazekas
2023	J	`jnl`	Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis. CoRR Cyrus Vahidi, Han Han, Changhong Wang, Mathieu Lagrange, György Fazekas, Vincent Lostanlen
2023	—	`conf`	Perceptual Musical Similarity Metric Learning with Graph Neural Networks. WASPAA Cyrus Vahidi, Shubhr Singh, Emmanouil Benetos, Huy Phan, Dan Stowell, György Fazekas, Mathieu Lagrange
2023	—	`conf`	Pianist Identification Using Convolutional Neural Networks. IS2 Jingjing Tang, Geraint A. Wiggins, György Fazekas
2023	J	`jnl`	Pianist Identification Using Convolutional Neural Networks. CoRR Jingjing Tang, Geraint A. Wiggins, György Fazekas
2023	—	`conf`	Pitch Class and Octave-Based Pitch Embedding Training Strategies for Symbolic Music Generation. CMMR Yuqiang Li, Shengchen Li, György Fazekas
2023	—	`conf`	Reconstructing Human Expressiveness in Piano Performances with a Transformer Network. CMMR Jingjing Tang, Geraint A. Wiggins, György Fazekas
2023	Misc	`conf`	Rigid-Body Sound Synthesis with Differentiable Modal Resonators. ICASSP Rodrigo Diaz, Ben Hayes, Charalampos Saitis, György Fazekas, Mark B. Sandler
2023	J	`jnl`	Semantic integration of audio content providers through the Audio Commons Ontology. J. Web Semant. Miguel Ceriani, Fabio Viola, Sasa Rudan, Francesco Antoniazzi, Mathieu Barthet, György Fazekas
2023	—	`conf`	Singing Voice Synthesis Using Differentiable LPC and Glottal-Flow-Inspired Wavetables. ISMIR Chin-Yun Yu, György Fazekas
2023	J	`jnl`	Singing Voice Synthesis Using Differentiable LPC and Glottal-Flow-Inspired Wavetables. CoRR Chin-Yun Yu, György Fazekas
2023	Misc	`conf`	Sinusoidal Frequency Estimation by Gradient Descent. ICASSP Ben Hayes, Charalampos Saitis, György Fazekas
2023	—	`conf`	SketchSynth: Cross-Modal Control of Sound Synthesis. EvoMUSART@EvoStar Sebastian Löbbers, Louise Thorpe, György Fazekas
2023	—	`conf`	Supervised Contrastive Learning For Musical Onset Detection. Audio Mostly Conference James Bolt, György Fazekas
2023	J	`jnl`	The Internet of Sounds: Convergent Trends, Insights, and Future Directions. IEEE Internet Things J. Luca Turchet, Mathieu Lagrange, Cristina Rottondi, György Fazekas, Nils Peters, Jan Østergaard, Frederic Font, Tom Bäckström, Carlo Fischione
2023	—	`conf`	The Responsibility Problem in Neural Networks with Unordered Targets. Tiny Papers @ ICLR Ben Hayes, Charalampos Saitis, György Fazekas
2023	J	`jnl`	The Responsibility Problem in Neural Networks with Unordered Targets. CoRR Ben Hayes, Charalampos Saitis, György Fazekas
2023	J	`jnl`	The Role of Communication and Reference Songs in the Mixing Process: Insights from Professional Mix Engineers. CoRR Soumya Sai Vanka, Maryam Safi, Jean-Baptiste Rolland, György Fazekas
2023	J	`jnl`	The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. CoRR 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
2023	J	`jnl`	Zero-Shot Duet Singing Voices Separation with Diffusion Models. CoRR Chin-Yun Yu, Emilian Postolache, Emanuele Rodolà, György Fazekas
2022	J	`jnl`	Conditioning and Sampling in Variational Diffusion Models for Speech Super-resolution. CoRR Chin-Yun Yu, Sung-Lin Yeh, György Fazekas, Hao Tang
2022	—	`conf`	Contrastive Audio-Language Learning for Music. ISMIR Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas
2022	J	`jnl`	Contrastive Audio-Language Learning for Music. CoRR Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas
2022	Misc	`conf`	Learning Music Audio Representations Via Weak Language Supervision. ICASSP Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas
2022	J	`jnl`	Rigid-Body Sound Synthesis with Differentiable Modal Resonators. CoRR Rodrigo Diaz, Ben Hayes, Charalampos Saitis, György Fazekas, Mark Sandler
2022	J	`jnl`	Seeing Sounds, Hearing Shapes: a gamified study to evaluate sound-sketches. CoRR Sebastian Löbbers, György Fazekas
2022	J	`jnl`	Sinusoidal Frequency Estimation by Gradient Descent. CoRR Ben Hayes, Charalampos Saitis, György Fazekas
2022	J	`jnl`	The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. J. Web Semant. 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
2022	J	`jnl`	The Smart Musical Instruments Ontology. J. Web Semant. Luca Turchet, Paolo Bouquet, Andrea Molinari, György Fazekas
2022	—	`conf`	Transfer Learning for Violinist Identification. EUSIPCO Yudong Zhao, György Fazekas, Mark Sandler
2022	Misc	`conf`	Violinist Identification Using Note-Level Timbre Feature Distributions. ICASSP Yudong Zhao, György Fazekas, Mark B. Sandler
2021	B	`conf`	A Modulation Front-End for Music Audio Tagging. IJCNN Cyrus Vahidi, Charalampos Saitis, György Fazekas
2021	J	`jnl`	A Modulation Front-End for Music Audio Tagging. CoRR Cyrus Vahidi, Charalampos Saitis, György Fazekas
2021	J	`jnl`	DoReMi: First glance at a universal OMR dataset. CoRR Elona Shatri, György Fazekas
2021	J	`jnl`	Learning music audio representations via weak language supervision. CoRR Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas
2021	B	`conf`	MusCaps: Generating Captions for Music Audio. IJCNN Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas
2021	J	`jnl`	MusCaps: Generating Captions for Music Audio. CoRR Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas
2021	—	`conf`	Neural Waveshaping Synthesis. ISMIR Ben Hayes, Charalampos Saitis, György Fazekas
2021	J	`jnl`	Neural Waveshaping Synthesis. CoRR Ben Hayes, Charalampos Saitis, György Fazekas
2021	J	`jnl`	Performer Identification From Symbolic Representation of Music Using Statistical Models. CoRR Syed Rifat Mahmud Rafee, György Fazekas, Geraint A. Wiggins
2021	J	`jnl`	Sketching sounds: an exploratory study on sound-shape associations. CoRR Sebastian Löbbers, Mathieu Barthet, György Fazekas
2021	J	`jnl`	Transfer Learning for Piano Sustain-Pedal Detection. CoRR Beici Liang, György Fazekas, Mark B. Sandler
2021	—	`conf`	Violinist identification based on vibrato features. EUSIPCO Yudong Zhao, Changhong Wang, György Fazekas, Emmanouil Benetos, Mark B. Sandler
2020	J	`jnl`	A Critical Look at the Applicability of Markov Logic Networks for Music Signal Analysis. CoRR Johan Pauwels, György Fazekas, Mark B. Sandler
2020	—	`conf`	Biophysiologically synchronous computer generated music improves performance and reduces perceived effort in trail runners. NIME Duncan A. H. Williams, Bruno Fazenda, Victoria Williamson, György Fazekas
2020	J	`jnl`	Cloud-smart Musical Instrument Interactions: Querying a Large Music Collection with a Smart Guitar. ACM Trans. Internet Things Luca Turchet, Johan Pauwels, Carlo Fischione, György Fazekas
2020	—	`conf`	From Music Ontology towards Ethno-Music-Ontology. ISMIR Polina Proutskova, Anja Volk, Peyman Heydarian, György Fazekas
2020	J	`jnl`	On Performance and Perceived Effort in Trail Runners Using Sensor Control to Generate Biosynchronous Music. Sensors Duncan A. H. Williams, Bruno Fazenda, Victoria Williamson, György Fazekas
2020	J	`jnl`	Optical Music Recognition: State of the Art and Major Challenges. CoRR Elona Shatri, György Fazekas
2020	B	`conf`	Poster: Programming Practices Among Interactive Audio Software Developers. VL/HCC Andrew Thompson, György Fazekas, Geraint A. Wiggins
2020	J	`jnl`	The Internet of Audio Things: State of the Art, Vision, and Challenges. IEEE Internet Things J. Luca Turchet, György Fazekas, Mathieu Lagrange, Hossein Shokri Ghadikolaei, Carlo Fischione
2020	J	`jnl`	The Internet of Musical Things Ontology. J. Web Semant. Luca Turchet, Francesco Antoniazzi, Fabio Viola, Fausto Giunchiglia, György Fazekas
2019	B	`conf`	A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor. IJCNN Di Sheng, György Fazekas
2019	J	`jnl`	A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor. CoRR Di Sheng, György Fazekas
2019	—	`conf`	A Model-View-Update Framework for Interactive Web Audio Applications. Audio Mostly Conference Andrew Thompson, György Fazekas
2019	Misc	`conf`	Piano Sustain-pedal Detection Using Convolutional Neural Networks. ICASSP Beici Liang, György Fazekas, Mark B. Sandler
2019	—	`conf`	The Impact of Audio Effects Processing on the Perception of Brightness and Warmth. Audio Mostly Conference Gary Bromham, David Moffat, Mathieu Barthet, Anne Danielsen, György Fazekas
2019	B	`conf`	Transfer Learning for Piano Sustain-Pedal Detection. IJCNN Beici Liang, György Fazekas, Mark B. Sandler
2018	—	`conf`	A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. EUSIPCO Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
2018	—	`conf`	Audio Commons Ontology: A Data Model for an Audio Content Ecosystem. ISWC (2) Miguel Ceriani, György Fazekas
2018	Misc	`conf`	C Minor: a Semantic Publish/Subscribe Broker for the Internet of Musical Things. FRUCT Fabio Viola, Luca Turchet, Francesco Antoniazzi, György Fazekas
2018	Misc	`conf`	Feature Design Using Audio Decomposition for Intelligent Control of the Dynamic Range Compressor. ICASSP Di Sheng, György Fazekas
2018	—	`conf`	Jam with Jamendo: Querying a Large Music Collection by Chords from a Learner's Perspective. Audio Mostly Conference Anna Xambó, Johan Pauwels, Gerard Roma, Mathieu Barthet, György Fazekas
2018	—	`conf`	Live Repurposing of Sounds: MIR Explorations with Personal and Crowdsourced Databases. NIME Anna Xambó, Gerard Roma, Alexander Lerch, Mathieu Barthet, György Fazekas
2018	—	`conf`	Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure. EUSIPCO Beici Liang, György Fazekas, Mark B. Sandler
2018	—	`conf`	Playsound.space: enhancing a live music performance tool with semantic recommendations. SAAM@ISWC Fabio Viola, Ariane Stolfi, Alessia Milo, Miguel Ceriani, Mathieu Barthet, György Fazekas
2018	—	`ed.`	Proceedings of the 1st International Workshop on Semantic Applications for Audio and Music, SAAM@ISWC 2018, Monterey, CA, USA, October 9, 2018 SAAM@ISWC Sean Bechhofer, György Fazekas, Kevin R. Page
2018	J	`jnl`	The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging. IEEE Trans. Emerg. Top. Comput. Intell. Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
2018	Misc	`conf`	Towards a Semantic Architecture for the Internet of Musical Things. FRUCT Luca Turchet, Fabio Viola, György Fazekas, Mathieu Barthet
2017	J	`jnl`	A Comparison on Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. CoRR Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
2017	J	`jnl`	A Tutorial on Deep Learning for Music Information Retrieval. CoRR Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
2017	—	`conf`	Confidence Measures and Their Applications in Music Labelling Systems Based on Hidden Markov Models. ISMIR Johan Pauwels, Ken O'Hanlon, György Fazekas, Mark B. Sandler
2017	Misc	`conf`	Convolutional recurrent neural networks for music classification. ICASSP Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
2017	—	`conf`	Linked Data Publication of Live Music Archives and Analyses. ISWC (2) Sean Bechhofer, Kevin R. Page, David M. Weigl, György Fazekas, Thomas Wilmering
2017	J	`jnl`	On the Robustness of Deep Convolutional Neural Networks for Music Classification. CoRR Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
2017	—	`conf`	Piano pedaller: a measurement system for classification and visualisation of piano pedalling techniques. NIME Beici Liang, György Fazekas, Andrew P. McPherson, Mark B. Sandler
2017	—	`ed.`	Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences, London, United Kingdom, August 23 - 26, 2017 Audio Mostly Conference György Fazekas, Mathieu Barthet, Tony Stockman
2017	—	`conf`	Realising a Layered Digital Library: Exploration and Analysis of the Live Music Archive through Linked Data. JCDL Kevin R. Page, Sean Bechhofer, György Fazekas, David M. Weigl, Thomas Wilmering
2017	—	`conf`	Recognition of Piano Pedalling Techniques Using Gesture Data. Audio Mostly Conference Beici Liang, György Fazekas, Mark B. Sandler
2017	—	`conf`	The Interaction of Casual Users with Digital Collections of Visual Art. An Exploratory Study of the WikiArt Website. HCI (30) Lucia Marengo, György Fazekas, Anastasios Tombros
2017	—	`conf`	Transfer Learning for Music Classification and Regression Tasks. ISMIR Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
2017	J	`jnl`	Transfer learning for music classification and regression tasks. CoRR Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
2016	—	`conf`	A Higher-Dimensional Expansion of Affective Norms for English Terms for Music Tagging. ISMIR Michele Buccoli, Massimiliano Zanoni, György Fazekas, Augusto Sarti, Mark B. Sandler
2016	—	`conf`	AUFX-O: Novel Methods for the Representation of Audio Processing Workflows. ISWC (2) Thomas Wilmering, György Fazekas, Mark B. Sandler
2016	—	`conf`	An Ontology for Audio Features. ISMIR Alo Allik, György Fazekas, Mark B. Sandler
2016	—	`conf`	Automatic Tagging Using Deep Convolutional Neural Networks. ISMIR Keunwoo Choi, György Fazekas, Mark B. Sandler
2016	J	`jnl`	Automatic tagging using deep convolutional neural networks. CoRR Keunwoo Choi, György Fazekas, Mark B. Sandler
2016	J	`jnl`	Convolutional Recurrent Neural Networks for Music Classification. CoRR Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
2016	—	`conf`	Creating, Visualizing, and Analyzing Dynamic Music Objects in the Browser with the Dymo Designer. Audio Mostly Conference Florian Thalmann, György Fazekas, Geraint A. Wiggins, Mark B. Sandler
2016	J	`jnl`	Explaining Deep Convolutional Neural Networks on Music Classification. CoRR Keunwoo Choi, György Fazekas, Mark B. Sandler
2016	J	`jnl`	Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation. IEEE Trans. Affect. Comput. Pasi Saari, György Fazekas, Tuomas Eerola, Mathieu Barthet, Olivier Lartillot, Mark B. Sandler
2016	Misc	`conf`	Hybrid music recommender using content-based and social information. ICASSP Paulo Chiliguano, György Fazekas
2016	—	`conf`	Knowledge Extraction from Audio Content Service Providers' API Descriptions. MTSR Damir Juric, György Fazekas
2016	—	`conf`	MusicWeb: Music Discovery with Open Linked Semantic Metadata. MTSR Mariano Mora-Mcginity, Alo Allik, György Fazekas, Mark B. Sandler
2016	—	`conf`	MusicWeb: Music Discovery with Open Linked Semantic Metadata. ISWC (Posters & Demos) Alo Allik, Mariano Mora-Mcginity, György Fazekas, Mark B. Sandler
2016	—	`conf`	Ontological Representation of Audio Features. ISWC (2) Alo Allik, György Fazekas, Mark B. Sandler
2016	A*	`conf`	Semantic Description of Timbral Transformations in Music Production. ACM Multimedia Ryan Stables, Brecht De Man, Sean Enderby, Joshua D. Reiss, György Fazekas, Thomas Wilmering
2016	J	`jnl`	Text-based LSTM networks for Automatic Music Composition. CoRR Keunwoo Choi, György Fazekas, Mark B. Sandler
2016	—	`conf`	The Mobile Audio Ontology: Experiencing Dynamic Music Objects on Mobile Devices. ICSC Florian Thalmann, Alfonso Pérez Carrillo, György Fazekas, Geraint A. Wiggins, Mark B. Sandler
2016	J	`jnl`	Towards Music Captioning: Generating Music Playlist Descriptions. CoRR Keunwoo Choi, György Fazekas, Mark B. Sandler
2016	—	`conf`	Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. UMAP (Extended Proceedings) Keunwoo Choi, György Fazekas, Mark B. Sandler
2016	J	`jnl`	Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. CoRR Keunwoo Choi, György Fazekas, Mark B. Sandler
2015	—	`conf`	Automating Annotation of Media with Linked Data Workflows. WWW (Companion Volume) Thomas Wilmering, Kevin R. Page, György Fazekas, Simon Dixon, Sean Bechhofer
2015	—	`conf`	Moodplay: an interactive mood-based musical experience. Audio Mostly Conference Mathieu Barthet, György Fazekas, Alo Allik, Mark B. Sandler
2015	Misc	`conf`	On the use of the tempogram to describe audio content and its application to Music structural segmentation. ICASSP Mi Tian, György Fazekas, Dawn A. A. Black, Mark B. Sandler
2015	J	`jnl`	Understanding Music Playlists. CoRR Keunwoo Choi, György Fazekas, Mark B. Sandler
2014	—	`conf`	A Framework for Automatic Ontology Generation Based on Semantic Audio Analysis. Semantic Audio Sefki Kolozali, György Fazekas, Mathieu Barthet, Mark B. Sandler
2014	—	`ed.`	AES International Conference on Semantic Audio 2014, London, UK, January 27-29, 2014 Semantic Audio Christian Dittmar, György Fazekas, Sebastian Ewert
2014	—	`conf`	Design And Evaluation of Onset Detectors using Different Fusion Policies. ISMIR Mi Tian, György Fazekas, Dawn A. A. Black, Mark B. Sandler
2014	—	`conf`	Evaluation and Improvement of the Mood Conductor Interactive System. Semantic Audio Ting Lou, Mathieu Barthet, György Fazekas, Mark B. Sandler
2014	—	`conf`	Extending Tagging Ontologies with Domain Specific Knowledge. ISWC (Posters & Demos) Frederic Font, Sergio Oramas, György Fazekas, Xavier Serra
2014	—	`conf`	Selection of Audio Features for Music Emotion Recognition Using Production Music. Semantic Audio Chris Baume, György Fazekas, Mathieu Barthet, David Marston, Mark B. Sandler
2013	—	`conf`	A Shared Vocabulary for Audio Features. ESWC (Satellite Events) Alo Allik, György Fazekas, Simon Dixon, Mark B. Sandler
2013	—	`conf`	A Study of Cultural Dependence of Perceived Mood in Greek Music. ISMIR Katerina Kosta, Yading Song, György Fazekas, Mark B. Sandler
2013	J	`jnl`	Automatic Ontology Generation for Musical Instruments Based on Audio Analysis. IEEE Trans. Speech Audio Process. Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler
2013	—	`conf`	Demo paper: The BBC Desktop Jukebox music recommendation system: A large scale trial with professional users. ICME Workshops György Fazekas, Mathieu Barthet, Mark B. Sandler
2013	—	`conf`	Describing audio production workflows on the semantic web. WIAMIS György Fazekas, Mark B. Sandler
2013	—	`conf`	Design and Evaluation of Semantic Mood Models for Music Recommendation using Editorial Tags. ISMIR Mathieu Barthet, David Marston, Chris Baume, György Fazekas, Mark B. Sandler
2013	—	`conf`	Facilitating Music Information Research with Shared Open Vocabularies. ESWC (Satellite Events) Alo Allik, György Fazekas, Simon Dixon, Mark B. Sandler
2013	B	`conf`	Mood Conductor: Emotion-Driven Interactive Music Performance. ACII György Fazekas, Mathieu Barthet, Mark B. Sandler
2013	—	`conf`	Novel Methods in Facilitating Audience and Performer Interaction Using the Mood Conductor Framework. CMMR György Fazekas, Mathieu Barthet, Mark B. Sandler
2013	—	`conf`	Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags. ICME Workshops Pasi Saari, Mathieu Barthet, György Fazekas, Tuomas Eerola, Mark B. Sandler
2013	—	`conf`	The Audio Effects Ontology. ISMIR Thomas Wilmering, György Fazekas, Mark B. Sandler
2013	—	`conf`	The Role of Audio and Tags in Music Mood Prediction: A Study Using Semantic Layer Projection. ISMIR Pasi Saari, Tuomas Eerola, György Fazekas, Mathieu Barthet, Olivier Lartillot, Mark B. Sandler
2013	—	`conf`	Towards the Representation of Chinese Traditional Music: A State of the Art Review of Music Metadata Standards. Dublin Core Conference Mi Tian, György Fazekas, Dawn A. A. Black, Mark B. Sandler
2012	—	`conf`	Listening Level Changes Music Similarity. ISMIR Michael Terrell, György Fazekas, Andrew Simpson, Jordan B. L. Smith, Simon Dixon
2012	—	`conf`	Music Emotion Recognition: From Content- to Context-Based Models. CMMR Mathieu Barthet, György Fazekas, Mark B. Sandler
2012	—	`—`	Semantic audio analysis utilities and applications. György Fazekas
2011	—	`conf`	A Knowledge Representation Framework for Context-Dependent Audio Processing. Semantic Audio György Fazekas, Thomas Wilmering, Mark B. Sandler
2011	—	`conf`	Knowledge Representation Issues in Musical Instrument Ontology Design. ISMIR Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler
2011	—	`conf`	The Studio Ontology Framework. ISMIR György Fazekas, Mark B. Sandler
2010	—	`conf`	Towards the Automatic Generation of a Semantic Web Ontology for Musical Instruments. SAMT Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler
2009	—	`conf`	Publishing Music Similarity Features on the Semantic Web. ISMIR Dan Tidhar, György Fazekas, Sefki Kolozali, Mark B. Sandler