Dr George Fazekas
Senior Lecturer
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
Research
semantic audio, music information retrieval, semantic webmusic, emotion recognition, deep learning
Interests
My main research interest is Semantic Audio, an interdisciplinary field in the confluence of Digital Signal Processing, Machine Learning, and various knowledge representation and knowledge sharing technologies such as Semantic Web Ontologies, Linked-data, knowledge-based reasoning and the Semantic Web. I'm interested in extracting, analysing and linking data about music and developing applications that use semantic metadata, bringing the power of semantic technologies to music technology.Publications
Publications of specific relevance to the Centre for Multimodal AI2024
Vanka S, Hannink L, Rolland J-B and Fazekas G (2024). Diff-MSTC: A Mixing Style Transfer Prototype for Cubase. International Society for Music Information Retrieval San Francisco 10 Nov 2024 - 15 Nov 2024. 11-11-2024
Guinot J, Fazekas G and Quinton E (2024). Proceedings of the 25th International Society for Music Information Retrieval Conference. The 25th International Society for Music Information Retrieval Conference San Francisco, USA 9 Nov 2024 - 15 Nov 2024. 10-11-2024
Vanka S, Steinmetz C, Rolland J-B, Reiss J and Fazekas G (2024). Diff-MST: Differentiable Mixing Style Transfer. International Society of Music Information Retrieval San Francisco 10 Nov 2024 - 14 Nov 2024. 10-11-2024
Weck B, Manco I, Benetos E, QUINTON E, Fazekas G and Bogdanov D (2024). MuChoMusic: Evaluating Music Understanding in Multimodal Audio-Language Models. 25th International Society for Music Information Retrieval Conference (ISMIR) San Francisco, CA, USA 10 Nov 2024 - 14 Nov 2024. 10-11-2024
Bolt J, Pauwels J and Fazekas G (2024). Multi-Signal Informed Attention for Beat and Downbeat Detection. 2024 IEEE 5th International Symposium on the Internet of Sounds (IS2). 02-10-2024
Zhang J, Fazekas G and Saitis C (2024). Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models. IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 22 Sep 2024 - 25 Sep 2024. 22-09-2024
Yu C-Y, Mitcheltree C, Carson A, Bilbao S, Reiss J and Fazekas G (2024). Differentiable All-pole Filters for Time-varying Audio Systems. International Conference on Digital Audio Effects 2024 Guildford, Surrey, UK 3 Sep 2024 - 7 Sep 2024. 03-09-2024
Yu C-Y and Fazekas G (2024). Differentiable Time-Varying Linear Prediction in the Context of End-to-End Analysis-by-Synthesis. INTERSPEECH 2024 Kos Island, Greece 1 Sep 2024 - 5 Sep 2024. 01-09-2024
Wilson E, Fazekas G and Wiggins G (2024). Tidal MerzA: Combining affective modelling and autonomous code generation through Reinforcement Learning. AIMC 2024 Oxford, UK 9 Sep 2024 - 11 Sep 2024. 26-08-2024
Crocker R and Fazekas G (2024). TEMPORAL ANALYSIS OF EMOTION PERCEPTION IN FILM MUSIC: INSIGHTS FROM THE FME-24 DATASET. Sound and Music Computing 2024 ESMAE, Porto, Portugal 4 Jul 2024 - 6 Jul 2024. 06-07-2024
Yu C-Y, Pauwels J and Fazekas G (2024). Time-of-arrival Estimation and Phase Unwrapping of Head-related Transfer Functions With Integer Linear Programming. Audio Engineering Society 156th Convention Madrid, Spain 15 Jun 2024 - 17 Jun 2024. 15-06-2024
Zhang J, Fazekas G and Saitis C (2024). Composer Style-Specific Symbolic Music Generation using Vector Quantized Discrete Diffusion Models. 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP). 25-01-2024
Vanka S, Safi M, Rolland J-B and Fazekas G (2024). The Role of Communication and Reference Songs in the Mixing Process: Insights from Professional Mix Engineers. Journal of the Audio Engineering Society, Audio Engineering Society 20-01-2024
Hayes B, Shier J, Fazekas G, McPherson A and Saitis C (2024). A review of differentiable digital signal processing for music and speech synthesis. Frontiers in Signal Processing, Frontiers vol. 3 11-01-2024
Ma Y, Øland A, Ragni A, Sette BMD, Saitis C, Donahue C, Lin C, Plachouras C, Benetos E, Quinton E, Shatri E, Morreale F, Zhang G, Fazekas G, Xia G, Zhang H, Manco I, Huang J, Guinot J, Lin L, et al. (2024). Foundation Models for Music: A Survey. CoRR vol. abs/2408.14340 01-01-2024
Yu CY, Mitcheltree C, Carson A, Bilbao S, Reiss JD and Fazekas G (2024). DIFFERENTIABLE ALL-POLE FILTERS FOR TIME-VARYING AUDIO SYSTEMS. 01-01-2024
2023
Manco I, Weck B, Doh S, Won M, Zhang Y, Bodganov D, Wu Y, Chen K, Tovstogan P, Benetos E, Quinton E, Fazekas G and Nam J (2023). The Song Describer dataset: a corpus of audio captions for music-and-language evaluation. NeurIPS Machine Learning for Audio Workshop New Orleans, USA 16 Dec 2023. 16-12-2023
Qian K, Fazekas G, Li S, Li Z and Schuller BW (2023). Editorial: Human-centred computer audition: sound, music, and healthcare. Frontiers in Digital Health, Frontiers vol. 5 12-12-2023
Tang J, Wiggins G and Fazekas G (2023). Reconstructing Human Expressiveness in Piano Performances with a Transformer Network. CMMR 2023 13 Nov 2023 - 17 Nov 2023. 13-11-2023
Row E, Tang J and Fazekas G (2023). JAZZVAR: A Dataset of Variations found within Solo Piano Performances of Jazz Standards for Music Overpainting. CMMR2023, the 16th International Symposium on Computer Music Multidisciplinary Research 13 Nov 2023 - 17 Nov 2023. 13-11-2023
Yu C-Y and Fazekas G (2023). Singing Voice Synthesis Using Differentiable LPC and Glottal-Flow-Inspired Wavetables. International Society for Music Information Retrieval (ISMIR) Milan, Italy. 5 Nov 2023 - 9 Nov 2023. 05-11-2023
Marinelli L, FAZEKAS G and Saitis C (2023). Gender-Coded Sound: Analysing the Gendering of Music in Toy Commercials via Multi-Task Learning. 24th International Society for Music Information Retrieval Conference Milan 5 Nov 2023 - 9 Nov 2023. 05-11-2023
Tang J, Wiggins G and Fazekas G (2023). Pianist Identification Using Convolutional Neural Networks. 2023 4th International Symposium on the Internet of Sounds. 27-10-2023
Rice M, Steinmetz CJ, Fazekas G and Reiss JD (2023). General Purpose Audio Effect Removal. 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). 25-10-2023
Vahidi C, Singh S, Benetos E, Phan QH, Stowell D, Fazekas G and Lagrange M (2023). Perceptual musical similarity metric learning with graph neural networks. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) New Paltz, NY, USA 22 Oct 2023 - 25 Oct 2023. 22-10-2023
Vahidi C, Han H, Wang C, Fazekas G, LAGRANGE M and LOSTANLEN V (2023). Mesostructures: Beyond Spectrogram Loss in Differentiable Time–Frequency Analysis. Journal of the Audio Engineering Society (NEW TRENDS IN AUDIO EFFECTS II) 13-09-2023
Vahidi C, Han H, Wang C, Lagrange M, Fazekas G and Lostanlen V (2023). Mesostructures: Beyond Spectrogram Loss in Differentiable Time–Frequency Analysis. Journal of the Audio Engineering Society, Audio Engineering Society vol. 71 (9), 577-585. 12-09-2023
Bolt J and Fazekas G (2023). Supervised Contrastive Learning For Musical Onset Detection. Audio Mostly 30 Aug 2023 - 1 Sep 2023. 30-08-2023
Wilson E, Fazekas G and Wiggins G (2023). On the Integration of Machine Agents into Live Coding. Organised Sound, Cambridge University Press (CUP) vol. 28 (2), 305-314. 01-08-2023
Ceriani M, Viola F, Rudan S, Antoniazzi F, Barthet M and Fazekas G (2023). Semantic integration of audio content providers through the Audio Commons Ontology. Journal of Web Semantics, Elsevier vol. 77 01-07-2023
Yu C-Y, Yeh S-L, Fazekas G and Tang H (2023). Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 10-06-2023
Hayes B, Saitis C and Fazekas G (2023). Sinusoidal Frequency Estimation by Gradient Descent. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 10-06-2023
Rafee SRM, Fazekas G and Wiggins G (2023). HIPI: A Hierarchical Performer Identification Model Based on Symbolic Representation of Music. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 10-06-2023
Diaz R, Hayes B, Saitis C, Fazekas G and Sandler M (2023). Rigid-Body Sound Synthesis with Differentiable Modal Resonators. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 10-06-2023
Yu C-Y, Yeh S-L, Fazekas G and Tang H (2023). CONDITIONING AND SAMPLING IN VARIATIONAL DIFFUSION MODELS FOR SPEECH SUPER-RESOLUTION. 2023 International Conference on Acoustics, Speech, and Signal Processing Rhodes Island, Greece 4 Jun 2023 - 10 Jun 2023. 04-06-2023
Vanka S, Safi M, Rolland J-B and Fazekas G (2023). Adoption of AI Technology in the Music Mixing Workflow: An Investigation. AES Europe Convention 2023 Helsinki, Finland 13 May 2023 - 15 May 2023. 02-05-2023
Lobbers S and Fazekas G (2023). SketchSynth: a browser-based sketching interface for sound control. International Conference on New Interfaces for Musical Expression (NIME) Mexico City, Mexico 31 May 2023 - 2 Jun 2023. 01-05-2023
Lobbers S, Thorpe L and Fazekas G (2023). SketchSynth: Cross-Modal Control of Sound Synthesis. EvoMUSART Brno, Czech Republic 12 Apr 2023 - 14 Apr 2023. 01-04-2023
Manco I, Weck B, Doh S, Won M, Zhang Y, Bogdanov D, Wu Y, Chen K, Tovstogan P, Benetos E, Quinton E, Fazekas G and Nam J (2023). The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. CoRR vol. abs/2311.10057 01-01-2023
Turchet L, Lagrange M, Rottondi C, Fazekas G, Peters N, Østergaard J, Font F, Bäckström T and Fischione C (2023). The Internet of Sounds: Convergent Trends, Insights, and Future Directions. IEEE Internet of Things Journal, Institute of Electrical and Electronics Engineers (IEEE) vol. 10 (13), 11264-11292. 01-01-2023
2022
Manco I, Benetos E, QUINTON E and Fazekas G (2022). Contrastive audio-language learning for music. 23rd International Society for Music Information Retrieval Conference (ISMIR) Bengaluru, India 4 Dec 2022 - 8 Dec 2022. 04-12-2022
Zhang H, Tang J, Rafee S, Dixon S and Fazekas G (2022). ATEPP: A DATASET OF AUTOMATICALLY TRANSCRIBED EXPRESSIVE PIANO PERFORMANCE. 23rd International Society for Music Information Retrieval Conference (ISMIR 2022) 4 Dec 2022 - 8 Dec 2022. 04-12-2022
Walwadkar D, Shatri E and Fazekas G (2022). CompldNet: Sheet Music Composer Identification using Deep Neural Network. 4th International Workshop on Reading Music Systems Online 18 Nov 2022. 01-10-2022
Zhao Y, Fazekas G and Sandler M (2022). Transfer Learning for Violinist Identification. 2022 30th European Signal Processing Conference (EUSIPCO). 29-08-2022
L�bbers S and Fazekas G (2022). Seeing Sounds, Hearing Shapes: a gamified study to evaluate sound-sketches., Editors: Torre G. International Computer Music Conference Limerick, Ireland 3 Jul 2022 - 9 Jul 2022. 09-07-2022
Proutskova P, Wolff D, Fazekas G, Frieler K, Höger F, Velichkina O, Solis G, Weyde T, Pfleiderer M, Crayencour HC, Peeters G and Dixon S (2022). The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. Journal of Web Semantics, 100735-100735. 01-07-2022
Manco I, Benetos E, Quinton E and Fazekas G (2022). Learning music audio representations via weak language supervision. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing Singapore 22 May 2022 - 27 May 2022. 22-05-2022
Hayes B, Saitis C and Fazekas G (2022). Disembodied Timbres: A Study on Semantically Prompted FM Synthesis. Journal of the Audio Engineering Society, Audio Engineering Society vol. 70 (5), 373-391. 11-05-2022
Vahidi C, Muradeli J, Wang C, Han H, Lostanlen V, Lagrange M and Fazekas G (2022). Differentiable Time-Frequency Scattering in Kymatio. arXiv. 04-05-2022
Turchet L, Bouquet P, Molinari A and Fazekas G (2022). The Smart Musical Instruments Ontology. Journal of Web Semantics, Elsevier vol. 72 01-04-2022
Zhao Y, Fazekas G and Sandler M (2022). Violinist Identification Using Note-Level Timbre Feature Distributions. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 01-04-2022
Li Y, Li S and Fazekas G (2022). HOW MUSIC FEATURES AND MUSICAL DATA REPRESENTATIONS AFFECT OBJECTIVE EVALUATION OF MUSIC COMPOSITION: A REVIEW OF THE CSMT DATA CHALLENGE 2020. 01-01-2022
Bromham G, Moffat D, Sheng D and Fazekas G (2022). Measuring Audibility Threshold Levels for Attack and Release in a Dynamic Range Compressor. 01-01-2022
Hayes B, Saitis C and Fazekas G (2022). timbre.fun: A gamified interactive system for crowdsourcing a timbre semantic vocabulary. 01-01-2022
Manco I, Benetos E, Quinton E and Fazekas G (2022). Learning Music Audio Representations Via Weak Language Supervision. 01-01-2022
2021
O'Connor B, Fazekas G and Dixon S (2021). Zero-shot Singing Technique Conversion. Computer Music Multidisciplinary Research Tokyo 15 Nov 2021 - 19 Nov 2021. 15-11-2021
Hayes B, Saitis C and Fazekas G (2021). Neural Waveshaping Synthesis. Proceedings of the 22nd International Society for Music Information Retrieval Online 8 Nov 2021 - 12 Nov 2021. 07-11-2021
Zhao Y, Wang C, Fazekas G, Benetos E and Sandler M (2021). Violinist identification based on vibrato features. 29th European Signal Processing Conference (EUSIPCO) 23 Aug 2021 - 27 Aug 2021. 23-08-2021
Löbbers S, Barthet M and Fazekas G (2021). Sketching sounds: an exploratory study on sound-shape associations. International Computer Music Conference Santiago de Chile, Chile 25 Jul 2021 - 31 Jul 2021. 25-07-2021
Shatri E and Fazekas G (2021). DoReMi: First glance at a universal OMR dataset., Editors: Calvo Zaragoza J, Pacha A and Shatri E. 3rd International Workshop on Reading Music Systems Alicante, Spain 23 Jul 2021. 23-07-2021
Manco I, Benetos E, Quinton E and Fazekas G (2021). MusCaps: generating captions for music audio. International Joint Conference on Neural Networks (IJCNN) 18 Jul 2021 - 22 Jul 2021. 18-07-2021
Vahidi C, Fazekas G and Saitis C (2021). A Modulation Front-End for Music Audio Tagging. The International Joint Conference on Neural Networks 18 Jul 2021 - 22 Jul 2021. 18-07-2021
Singh S (2021). Intelligent control method for the dynamic rangecompressor: A user study. Journal of the Audio Engineering Society, Audio Engineering Society 07-07-2021
Lefford MN, Bromham G, Fazekas G and Moffat D (2021). Context-Aware Intelligent Mixing Systems. Journal of the Audio Engineering Society, Audio Engineering Society vol. 69 (3), 128-141. 10-03-2021
Gabrielli L, Fazekas G and Nam J (2021). Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening. Applied Sciences, MDPI vol. 11 (2) 06-01-2021
Li S, Jing Y and Fazekas G (2021). A Novel Dataset for the Identification of Computer Generated Melodies in the CSMT Challenge. Proceedings of the 8th Conference on Sound and Music Technology 177-186. 01-01-2021
Rafee SRM, Fazekas G and Wiggins GA (2021). Performer Identification From Symbolic Representation of Music Using Statistical Models. 01-01-2021
Manco I, Benetos E, Quinton E and Fazekas G (2021). Learning music audio representations via weak language supervision. CoRR vol. abs/2112.04214 01-01-2021
Manco I, Benetos E, Quinton E and Fazekas G (2021). MusCaps: Generating Captions for Music Audio. 01-01-2021
2020
O'Connor B, Dixon S and Fazekas G (2020). An Exploratory Study on Perceptual Spaces of
the Singing Voice. The 2020 Joint Conference on AI Music Creativity Proceedings of the 2020 Joint Conference on AI Creativity 19 Oct 2020 - 23 Oct 2020. 19-10-2020
Proutskova P, Volk A, Heidarian P and Fazekas G (2020). From Music Ontology Towards Ethno-Music-Ontology. International Society for Music Information Retrieval Conference Montreal, Canada 11 Oct 2020 - 16 Oct 2020. 11-10-2020
Vahidi C, Fazekas G, Saitis C and Palladini A (2020). Timbre Space Representation of a Subtractive Synthesizer. International Conference on Timbre (Timbre 2020) 3 Sep 2020 - 4 Sep 2020. 03-09-2020
Thompson A, Fazekas G and Wiggins G (2020). Poster: Programming Practices Among Interactive Audio Software Developers. 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). 14-08-2020
Williams D, Fazenda B, Williamson V and Fazekas G (2020). On performance and perceived effort in trail runners using sensor control to generate biosynchronous music. Sensors (Basel, Switzerland), MDPI AG vol. 20 (16), 1-14. 13-08-2020
Turchet L, Pauwels J, Fischione C and Fazekas G (2020). Cloud-smart Musical Instrument Interactions. ACM Transactions on Internet of Things vol. 1 (3), 1-29. 14-07-2020
Zhao Y, Fazekas G and Sandler M (2020). Identifying master violinists using note-level audio features. 17th Sound and Music Computing Conference 24 Jun 2020 - 27 Jun 2020. 24-06-2020
Turchet L, Fazekas G, Lagrange M, Ghadikolaei HS and Fischione C (2020). The Internet of Audio Things: State of the Art, Vision, and Challenges. IEEE Internet of Things Journal vol. 7 (10), 10233-10249. 25-05-2020
Shatri E and Fazekas G (2020). Optical Music Recognition: State of the Art and Major Challenges. International Conference on Technologies for Music Notation and Representation Hamburg 12 May 2020 - 14 May 2020. 12-05-2020
Turchet L, Antoniazzi F, Viola F, Giunchiglia F and Fazekas G (2020). The Internet of Musical Things Ontology. Journal of Web Semantics vol. 60 22-01-2020
Williams D, Fazenda B, Williamson V and Fazekas G (2020). Biophysiologically synchronous computer generated music improves performance and reduces perceived effort in trail runners. 01-01-2020
Proutskova P, Volk A, Heidarian P and Fazekas G (2020). FROM MUSIC ONTOLOGY TOWARDS ETHNO-MUSIC-ONTOLOGY. 01-01-2020
2019
Thompson A and Fazekas G (2019). A Model-View-Update Framework for Interactive Web Audio Applications. Proceedings of the 14th International Audio Mostly Conference: A Journey in Sound. 18-09-2019
BROMHAM G, Moffat D, Barthet M, Daneilsen A and Fazekas G (2019). The Impact of Audio Effects Processing on the Perception of Brightness and Warmth. Audio Mostly Nottingham, UK 17 Sep 2019 - 20 Sep 2019. 17-09-2019
Sheng D and Fazekas G (2019). A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor. 2019 International Joint Conference on Neural Networks (IJCNN). 19-07-2019
Liang B, Fazekas G and Sandler M (2019). Transfer Learning for Piano Sustain-Pedal Detection. 2019 International Joint Conference on Neural Networks (IJCNN). 19-07-2019
Xambó A, Font F, Fazekas G and Barthet M (2019). Leveraging Online Audio Commons Content for Media Production. Foundations in Sound Design for Linear Media 248-282. 19-06-2019
Liang B, Fazekas G and Sandler M (2019). Piano Sustain-pedal Detection Using Convolutional Neural Networks. IEEE International Conference on Acoustics, Speech and Signal Processing. 01-05-2019
2018
Turchet L, Viola F, Fazekas G and Barthet M (2018). Towards a Semantic Architecture for the Internet of Musical Things. 2018 23rd Conference of Open Innovations Association (FRUCT). 16-11-2018
Viola F, Turchet L, Antoniazzi F and Fazekas G (2018). C Minor: a Semantic Publish/Subscribe Broker for the Internet of Musical Things. 2018 23rd Conference of Open Innovations Association (FRUCT). 16-11-2018
Viola F, Stolfi A, Milo A, Ceriani M, Barthet M and Fazekas G (2018). Playsound.space. Proceedings of the 1st International Workshop on Semantic Applications for Audio and Music. 09-10-2018
Pauwels J, Xambo Sedo A, Roma G, Barthet M and Fazekas G (2018). Exploring Real-time Visualisations to Support Chord Learning with a Large Music Collection. 4th Web Audio Conference (WAC) Berlin, Germany 19 Sep 2018 - 21 Sep 2018. 19-09-2018
Liang B, Fazekas G and Sandler M (2018). Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure. 26th European Signal Processing Conference (EUSIPCO) Rome 3 Sep 2018 - 7 Sep 2018. 07-09-2018
Pauwels J, Fazekas G and Sandler M (2018). Recommending songs to music learners based on chord content. 2018 Joint Workshop on Machine Learning for Music Stockholm, Sweden 14 Jul 2018. 14-07-2018
Liang B, Fazekas G and Sandler M (2018). Measurement, recognition, and visualization of piano pedaling gestures and techniques. AES: Journal of the Audio Engineering Society vol. 66 (6), 448-456. 18-06-2018
Liang B, Fazekas G and Sandler M (2018). Measurement, Recognition and Visualisation of Piano Pedalling Gestures and Techniques. JAES Special Issue on Participatory Sound And Music Interaction Using Semantic Audio vol. 2, xxxx-xxxx. 18-06-2018
Choi K, Fazekas G, Sandler M and Cho K (2018). The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging. IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE vol. 2 (2), 139-149. 23-03-2018
Ceriani M and Fazekas G (2018). Audio Commons Ontology: A Data Model for an Audio Content Ecosystem. 01-01-2018
Bromham G, Moffat D, Barthet M and Fazekas G (2018). The impact of compressor ballistics on the perceived style of music. 01-01-2018
Choi K, Fazekas G, Sandler M and Cho K (2018). A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. 01-01-2018
Xambo A, Roma G, Lerch A, Barthet M and Fazekas G (2018). Live Repurposing of Sounds: MIR Explorations with Personal and Crowd-sourced Databases. 01-01-2018
Sheng D and Fazekas G (2018). Feature Selection for Dynamic Range Compressor Parameter Estimation. 01-01-2018
Sheng D and Fazekas G (2018). Feature Design Using Audio Decomposition for Intelligent Control of the Dynamic Range Compressor. 01-01-2018
Marengo L, Fazekas G and Tombros A (2018). I Wonder... Inquiry Techniques As A Method To Gain Insights Into People’s Encounters With Visual Art. 01-01-2018
Xambo A, Pauwels J, Roma G, Barthet M and Fazekas G (2018). Jam with Jamendo: Querying a Large Music Collection by Chords from a Learner's Perspective. 01-01-2018
2017
Choi K, Fazekas G, Sandler M and Cho K (2017). Transfer learning for music classification and regression tasks. ISMIR 2017. 24-10-2017
CHOI K, FAZEKAS G, SANDLER M and Kyunghyun C (2017). Transfer learning for music classification and regression tasks. The 18th International Society of Music Information Retrieval (ISMIR) Conference. 23-10-2017
Bechhofer S, Page K, Weigl D, Fazekas G and Wilmering T (2017). Linked Data Publication of Live Music Archives and Analyses. International Semantic Web Conference (ISWC) Vienna, Austria 21 Oct 2017 - 25 Oct 2017. 21-10-2017
Marengo L and Fazekas TA (2017). I Wonder... Inquiry Techniques as a Method to Gain Insights into People's Encounters with Visual Art. International Conference on Human-Computer Interaction (HCI’17), 9-14 July, Vancouver, Canada. 09-07-2017
Page K, Bechhofer S, Fazekas G, Weigl D and Wilmering T (2017). Realising a Layered Digital Library: Exploration and Analysis of the Live Music Archive through Linked Data. ACM/IEEE Joint Conference on Digital Libraries (JCDL). 19-06-2017
Sheng D and Fazekas G (2017). Automatic Control Of The Dynamic Range Compressor Using A Regression Model And A Reference Sound. 01-01-2017
Liang B, Fazekas G, McPherson A and Sandler M (2017). Piano Pedaller: A Measurement System for Classification and Visualisation of Piano Pedalling Techniques. 01-01-2017
Sheng D and Fazekas G (2017). Feature design for intelligent control of the dynamic range compressor using audio decomposition. 01-01-2017
Pauwels J, O hanlon K, Fazekas G and Sandler M (2017). Confidence Measures and Their Applications in Music Labelling Systems Based on Hidden Markov Models. 01-01-2017
Liang B, Fazekas G and Sandler M (2017). Recognition of Piano Pedalling Techniques Using Gesture Data. 01-01-2017
Fazekas G, Barthet M and Stockman TE (2017). Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences, London, United Kingdom, August 23 - 26, 2017. 01-01-2017
Wilmering T, Thalmann F, Fazekas G and Sandler M (2017). Bridging Fan Communities and Facilitating Access to Music Archives through Semantic Audio Applications. 01-01-2017
Liang B, Fazekas G and Sandler M (2017). Detection of Piano Pedaling Techniques on the Sustain Pedal. 01-01-2017
Choi K, Fazekas G, Cho K and Sandler M (2017). A Tutorial on Deep Learning for Music Information Retrieval. 01-01-2017
Liang B, Fazekas G and Sandler M (2017). Discovering Feature Relevance in Pedalling Analyses of Piano Music. 01-01-2017
2016
Choi K, Fazekas G, Sandler M and Cho K (2016). Convolutional Recurrent Neural Networks for Music Classification. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) New Orleans, USA. 21-12-2016
LIANG B, fazekas G, mcpherson A and sandler M (2016). Classification of Piano Pedaling Techniques Using Gesture Data from a Non-Intrusive Measurement System. DMRN+11: Digital Music Research Network One-day Workshop 2016 Centre for Digital Music, Queen Mary University of London 20 Dec 2016. 20-12-2016
Allik A M and Fazekas G SM (2016). Musicweb: Music Discovery with Open Linked Semantic Metadata [Nominee, Best Demo Award]. 17-10-2016
CHOI K, sandler M and fazekas G (2016). Text-based LSTM networks for Automatic Music Composition. Conference on Computer Simulation of Musical Creativity Huddersfield, UK 17 Jun 2016 - 19 Jun 2016. 18-04-2016
Mora-McGinity M, Allik A, Fazekas G and Sandler M (2016). MusicWeb: Music discovery with open linked semantic metadata. 01-01-2016
Saari P, Fazekas G, Eerola T, Barthet M, Lartillot , O S and M (2016). Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation. IEEE Transactions on Affective Computing (TAC) vol. 7, 122-135. 01-01-2016
Thalmann F, Perez Carillo A, Fazekas G and Sandler M (2016). The Semantic Music Player: A Smart Mobile Player Based on Ontological Structures and Analytical Feature Metadata. 01-01-2016
Thalmann F, Carrillo G, Wiggins GA and Sandler M (2016). The Mobile Audio Ontology: Experiencing Dynamic Music Objects on Mobile Devices. 01-01-2016
Carrillo A, Thalmann F, Fazekas G and Sandler M (2016). Geolocation Adaptive Music Player. 01-01-2016
Allik A, Fazekas G, Barthet M and Sandler M (2016). myMoodplay: An interactive mood-based music discovery app. 01-01-2016
Barthet M, Fazekas G, Thalmann F, Sandler M and Wiggins GA (2016). Crossroads: Interactive Music Systems Transforming Performance, Production and Listening. 01-01-2016
Choi K, Fazekas G and Sandler M (2016). Automatic Tagging Using Deep Convolutional Neural Networks. 01-01-2016
Choi K, Fazekas G and Sandler M (2016). Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. 01-01-2016
Thalmann F, Fazekas G, Wiggins GA and Sandler M (2016). Creating, Visualizing, and Analyzing Dynamic Music Objects in the Browser with the Dymo Designer. 01-01-2016
Barthet M, Fazekas G, Allik A, Thalmann F and Sandler M (2016). From interactive to adaptive mood-based music listening experiences in social or personal context. Journal of the Audio Engineering Society vol. 64, 673-682. 01-01-2016
Mora-Mcginity M, Allik A, Fazekas G and Sandler M (2016). Proc. Metadata and Semantics Research (MTSR), Nov. 22-25, Göttingen, Germany. 01-01-2016
Wilmering T, Fazekas G and Sandler M (2016). The Semantic Web, proc. of the 15th International Semantic Web Conference (ISWC), Oct. 17–21, Kobe, Japan. 01-01-2016
Stables R, De Man B, Enderby S, Reiss JD, Fazekas G and Wilmering T (2016). Semantic description of timbral transformations in music production. 01-01-2016
Chiliguano P and Fazekas G (2016). Hybrid music recommender using content-based and social information. 01-01-2016
Font F, Brookes T, Fazekas G, Guerber M, La Burthe A, Plans D, Plumbley M, Wang W and Serra X (2016). Audio Commons: Bringing Creative Commons Audio Content to the Creative Industries. 01-01-2016
Buccoli M, Zanoni M, Fazekas G, Sarti A and Sandler M (2016). A Higher-Dimensional Expansion of Affective Norms for English Terms for Music Tagging. 01-01-2016
2015
CHOI K, Fazekas G, sandler MARK and Kim J (2015). Auralisation of Deep Convolutional Neural Networks: Listening to Learned Features. International Society for Music Information Retrieval Conference Malaga, Spain 26 Oct 2015 - 30 Oct 2015. 30-10-2015
Wilmering T, Fazekas G, Allik A and Sandler MB (2015). Audio effects data on the semantic web. 01-01-2015
Mauch M, Cannam C, Bittner R, Fazekas G, Salamon J, Dai J, Bello J and Dixon S (2015). Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency. 01-01-2015
Wilmering T, Fazekas G, Dixon S, Bechhofer S and Page K (2015). Automating Annotation of Media with Linked Data Workflows. 01-01-2015
Tian M, Fazekas G, Black DAA and Sandler M (2015). On the Use of the Tempogram to Describe Audio Content and its Application to Music Structural Segmentation. 01-01-2015
Barthet M, Fazekas G, Allik A and Sandler M (2015). Moodplay: an interactive mood-based musical experience. 01-01-2015
Thalmann F, Carrillo A, Fazekas G, Wiggins GA and Sandler M (2015). Navigating Ontological Structures based on Feature Metadata Using the Semantic Music Player. 01-01-2015
Zanoni M, Setragno F, Antonacci F, Sarti A, Fazekas G and Sandler M (2015). Training-based Semantic Descriptors modeling for violin quality sound characterization. 01-01-2015
Wilmering T, Fazekas G, Dixon S, Page K and Bechhofer S (2015). Towards High Level Feature Extraction from Large Live Music Recording Archives. 01-01-2015
Tian M, Fazekas G, Black DAA and Sandler M (2015). ON THE USE OF THE TEMPOGRAM TO DESCRIBE AUDIO CONTENT AND ITS APPLICATION TO MUSIC STRUCTURAL SEGMENTATION. 01-01-2015
2014
Fazekas G, BARTHET M and Sandler MB (2014). Novel Methods in Facilitating Audience and Performer Interaction Using the Mood Conductor Framework. Lecture Notes in Computer Science, Springer-Verlag vol. 8905 (Sound, Music, and Motion), 122-147. 05-12-2014
Mauch M, Cannam C and Fazekas G (2014). Efficient computer-aided pitch track and note estimation for scientific applications. 01-01-2014
Kolozali S, Fazekas G, Barthet M and Sandler M (2014). A framework for automatic ontology generation based on semantic audio analysis. 01-01-2014
Fazekas G, Barthet M and Sandler M (2014). Novel Methods in Facilitating Audience and Performer Interaction using the Mood Conductor Framework., Editors: Aramaki M, Kronland-Martinet R and Ystad S. 01-01-2014
Font F, Oramas S, Fazekas G and Serra X (2014). Extending Tagging Ontologies with Domain Specific Knowledge. 01-01-2014
Fazekas G and Kudumakis P (2014). A second screen music discovery and recommendation service based on social and cultural factors. Submitted in response to the Digital Media Project (DMP) Hybrid Media Services call 01-01-2014
Baume C, Fazekas G, Barthet M, Martson D and Sandler M (2014). Selection of audio features for music emotion recognition using production music. 01-01-2014
Lou T, Barthet M, Fazekas G and Sandler M (2014). Evaluation and Improvement of the Mood Conductor Interactive System. 01-01-2014
Stables R, Enderby S, De Man B, Fazekas G and Reiss JD (2014). SAFE: A System for Extraction and Retrieval of Semantic Audio Descriptors. 01-01-2014
Stables R, Enderby S, De Man B, Fazekas G and Reiss JD (2014). The SAFE project: Musical semantics in the DAW. 01-01-2014
Mora-McGinity M, Ogilvie G and Fazekas G (2014). Semantically Linking Humanities Research Articles and Music Artists. 01-01-2014
Tian M, Fazekas G, Black DAA and Sandler M (2014). Design and Evaluation of Onset Detectors Using Different Fusion Policies. 01-01-2014
Bechhofer S, Dixon S, Fazekas G, Wilmering T and Page K (2014). Computational Analysis of the Live Music Archive. 01-01-2014
Mora-McGinity M, Fazekas G and Ogilive G (2014). Creating Semantic Links between Research Articles and Music Artists. 01-01-2014
2013
Kolozali S, Barthet M, Fazekas G and Sandler M (2013). Automatic Ontology Generation for Musical Instruments Based on Audio Analysis. IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING vol. 21 (10), 1-14. 01-01-2013
Tian M, Fazekas G, Black DAA and Sandler M (2013). Towards the Representation of Chinese Traditional Music: A State of the Art Review of Music Metadata Standards. Proc. of the DCMI International Conference on Dublin Core and Metadata Applications (DC-2013), 2-6, September, Lisbon, Portugal, 71-81. 01-01-2013
Barthet M, Fazekas G and Sandler M (2013). Music Emotion Recognition: From Content- to Context-Based Models. 228-252. 01-01-2013
Wilmering T, Fazekas G and Sandler M (2013). Audio Effect Classification Based on Auditory Perceptual Attributes. 01-01-2013
Fazekas G, Barthet M and Sandler MB (2013). Mood Conductor: Emotion-Driven Interactive Music Performance. 01-01-2013
Fazekas G, Barthet M and Sandler MB (2013). DEMO PAPER: THE BBC DESKTOP JUKEBOX MUSIC RECOMMENDATION SYSTEM: A LARGE SCALE TRIAL WITH PROFESSIONAL USERS. 01-01-2013
Fazekas G and Sandler MB (2013). DESCRIBING AUDIO PRODUCTION WORKFLOWS ON THE SEMANTIC WEB. 01-01-2013
Allik A, Fazekas G, Dixon S and Sandler M (2013). Facilitating Music Information Research with Shared Open Vocabularies. 01-01-2013
Allik A, Fazekas G, Dixon S and Sandler M (2013). A Shared Vocabulary for Audio Features. 01-01-2013
Barthet M, Marston D, Baume C, Fazekas G and Sandler M (2013). Design and evaluation of semantic mood models for music recommendation. 01-01-2013
Saari P, Barthet M, Fazekas G, Eerola T and Sandler M (2013). Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags. 01-01-2013
Wilmering T, Fazekas G and Sandler M (2013). Semantic Metadata for Music Production Projects. 01-01-2013
Saari P, Eerola T, Fazekas G and Sandler M (2013). Using Semantic Layer Projection for Enhancing Music Mood Prediction With Audio Features. 01-01-2013
Fazekas G, Barthet M and Sandler M (2013). The Mood Conductor System: Audience and Performer Interaction using Mobile Technology and Emotion Cues. 01-01-2013
Lou T, Barthet M, Fazekas G and Sandler M (2013). Evaluation of the Mood Conductor Interactive System Based on Audience and Performers’ Perspectives. 01-01-2013
Saari P, Eerola T, Fazekas G, Barthet M, Lartillot O and Sandler M (2013). The Role of Audio and Tags in Music Mood Prediction: a Study Using Semantic Layer Projection., Editors: Britto ASJ, Gouyon F and Dixon S. 01-01-2013
Wilmering T, Fazekas G and Sandler M (2013). The Audio Effects Ontology., Editors: Britto ASJ, Gouyon F and Dixon S. 01-01-2013
Song Y, Dixon S, Pearce M and Fazekas G (2013). Using Tags to Select Stimuli in the Study of Music and Emotion., Editors: Luck G and Brabant O. 01-01-2013
Kosta K, Song Y, Fazekas G and Sandler M (2013). A Study of Cultural Dependence of Perceived Mood in Greek Music., Editors: Britto ASJ, Gouyon F and Dixon S. 01-01-2013
Barthet M, Marston D, Baume C, Fazekas G and Sandler M (2013). Design and Evaluation of Semantic Mood Models for Music Recommendation Using Editorial Tags., Editors: Britto ASJ, Gouyon F and Dixon S. 01-01-2013
Tian M, Black DAA, Fazekas G and Sandler M (2013). Content-based Emotion Categorisation Analysis of Chinese Cultural Revolution Songs., Editors: Kranenburg PV, Anagnostopoulou C and Volk A. 01-01-2013
2012
Rumsey F, Schulein B, Herre J, Kelly M, Ackerman D, Lacinak C, , Martz S, Someya K, Zurek B, Kelloniemi A, Smith JM, Peltier C, Brixen EB, Hamasaki K, Kamekawa T, Mayo A, Stroud R, Nind T, , et al. (2012). Technology Trends in Auto Engineering A report by the AES Technical Council. JOURNAL OF THE AUDIO ENGINEERING SOCIETY vol. 60 (1-2), 90-107. 01-01-2012
Wilmering T, Fazekas G and Sandler M (2012). High level semantic metadata for the control of multitrack adaptive audio effects. 01-01-2012
Terrell MJ, Fazekas G, Simpson AJR, Smith JBL and Dixon S (2012). Listening level changes music similarity. 01-01-2012
Fazekas G, Ewert S, Allik A, Dixon S and Sandler M (2012). Shared Open Vocabularies and Semantic Media. 01-01-2012
Fazekas G and Sandler M (2012). Knowledge Representation Issues in Audio-Related Metadata Model Design. 01-01-2012
Barthet M, Fazekas G, Dixon S and Sandler M (2012). Social Media Retrieval for Music Education. 01-01-2012
Barthet M, Fazekas G and Sandler M (2012). Multidisciplinary Perspectives on Music Emotion Recognition: Implications for Content and Context-Based Models. 01-01-2012
2011
Barthet M, Anglade A, Fazekas G, Kolozali S and Macrae R (2011). Music recommendation for music learning: Hotttabs a multimedia guitar tutor. 01-01-2011
Kolozali S, Fazekas G, Barthet M and Sandler M (2011). Knowledge representation issues in musical instrument ontology design. 01-01-2011
Kolozali S, Barthet M, Fazekas G and Sandler M (2011). Towards the automatic generation of a Semantic Web ontology for musical instruments. 01-01-2011
Fazekas G, Wilmering T and Sandler MB (2011). A knowledge representation framework for context-dependent audio processing. 01-01-2011
Wilmering T, Fazekas G and Sandler MB (2011). Towards ontological representations of digital audio effects. 01-01-2011
Tidhar D, Fazekas G, Mauch M and Dixon S (2011). Tempest - harpsichord temperament estimation in a Semantic Web environment. Journal of New Music Research special issue on Music Informatics and the OMRAS2 Project vol. 39, 327-336. 01-01-2011
2010
Fazekas G, Raimond Y, Jacobson K and Sandler M (2010). An Overview of Semantic Web Activities in the OMRAS2 Project. J NEW MUSIC RES vol. 39 (4), 295-311. 01-01-2010
Wilmering T, Fazekas G and Sandler M (2010). The effects of reverberation on onset detection tasks. 01-01-2010
Kolozali S, Barthet M, Fazekas G, Tidhar D and Sandler M (2010). The musical instrument ontology. 01-01-2010
Raimond Y, Gängler T, Giasson F, Jacobson K, Fazekas G, Reinhardt S and Passant A (2010). The music ontology specification. 01-01-2010
Kolozali S, Barthet M, Fazekas G and Sandler M (2010). Towards the automatic generation of a Semantic Web ontology for musical instruments. 01-01-2010
2009
Tidhar D, Fazekas G, Kolozali S and Sandler M (2009). Publishing Music Similarity Features on the Semantic Web. 01-01-2009
Fazekas G and Sandler M (2009). Ontology based information management in music production. 01-01-2009
Fazekas G and Sandler M (2009). Uncovering the details of music production using ontologies. 01-01-2009
Fazekas G, Cannam C and Sandler M (2009). A Simple Guide to Automated Music Analysis on the Semantic Web (white paper). 01-01-2009
Fazekas G and Sandler M (2009). Novel methods in information management for advanced audio workflows. 01-01-2009
Fazekas G, Cannam C and Sandler M (2009). Reusable metadata and software components for automatic audio analysis. 01-01-2009
2008
Fazekas G and Sandler M (2008). Ontology based information management in music production. 01-01-2008
Fazekas G, Raimond Y and Sandler M (2008). A framework for producing rich musical metadata in creative music production. 01-01-2008
2007
Grants
Grants of specific relevance to the Centre for Multimodal AISmart EQ: Personalising Audio with Context-aware AI using Listener Preferences and Psychological FactorsGyorgy Fazekas and Charalampos Saitis
£172,101 Yamaha Corporation (23-09-2024 - 22-09-2028)
AIM CDT Studentship - UMG 2023Gyorgy Fazekas
£61,268 Universal Music Group International Limited (01-10-2023 - 30-09-2027)
AIM Studentship SteinbergGyorgy Fazekas
£112,436 Steinberg Media Technologies GmbH (20-09-2021 - 19-09-2025)
UKRI Centre for Doctoral Training in Artificial Intelligence and MusicSimon Dixon, Emmanouil Benetos, Nicholas Bryan-Kinns, Mark Sandler, Andrew McPherson, Mathieu Barthet, Gyorgy Fazekas, Ekaterina Ivanova, Anna Xambo Sedo and Charalampos Saitis
£6,519,934 EPSRC Engineering and Physical Sciences Research Council (01-07-2019 - 31-08-2028)
CDT Studentships: Elona ShatriGyorgy Fazekas
£124,649 Steinberg Media Technologies GmbH (23-09-2019 - 30-04-2024)
Deep learning & multi modal models for the music industryGyorgy Fazekas
£54,000 Universal Music Group International Limited (23-09-2019 - 31-07-2024)