Dr George Fazekas

Senior Lecturer
Email: g.fazekas@qmul.ac.ukTelephone: +44 20 7882 8024Room Number: Peter Landin, CS 419AWebsite: http://www.eecs.qmul.ac.uk/~gyorgyf/
Teaching
Research Methods and Responsible Innovation (Postgraduate)
This module will teach generic high-level research and transferable skills applicable to pure and applied research in computer science and engineering. The module fosters the development of practical understanding of established approaches, methods and techniques of research; conceptual understanding that enables critical and rigorous evaluation of research; ability to communicate ideas and conclusions logically and fluently in both written and oral contexts. It will also discuss responsible research and innovation practices, acknowledging that science can raise questions and dilemmas, is often ambiguous in terms of purposes and motivations and unpredictable in terms of impacts. Topics include research writing with an introduction to LaTeX, research ethics and responsible innovation, quantitative, qualitative and reproducible research methods, including experiment design and basic statistical analysis with an introduction to statistical programming and an introduction to scientific programming environments and version control systems.
The Semantic Web (Postgraduate/Undergraduate)
The idea of putting semantic information on the Web has been around for a long time: we now have the beginnings of a practical application. This has its foundations in what is called Description Logic, which strikes a good balance between tractability and usability. This has led to a Web language called OWL, which is at the centre of modern work on the Semantic Web: there are now useful implementations, and there are workable, if modest, applications of this technology.
Research
Research 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
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Ceriani M, Viola F, Rudan S et al. (2023). Semantic integration of audio content providers through the Audio Commons Ontology. nameOfConference
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Turchet L, Lagrange M, Rottondi C et al. (2023). The Internet of Sounds: Convergent Trends, Insights, and Future Directions. nameOfConference
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Wilson E, Fazekas G, Wiggins G (2023). On the Integration of Machine Agents into Live Coding. nameOfConference
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Löbbers S, Thorpe L, Fazekas G (2023). SketchSynth: Cross-Modal Control of Sound Synthesis. nameOfConference
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L�bbers S, Fazekas G (2022). Seeing Sounds, Hearing Shapes: a gamified study to evaluate sound-sketches. International Computer Music Conference
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Proutskova P, Wolff D, Fazekas G et al. (2022). The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. nameOfConference
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Manco I, Benetos E, Quinton E et al. (2022). Learning music audio representations via weak language supervision. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing
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Hayes B, Saitis C, Fazekas G (2022). Disembodied Timbres: A Study on Semantically Prompted FM Synthesis. nameOfConference
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Vahidi C, Muradeli J, Wang C et al. (publicationYear). Differentiable Time-Frequency Scattering in Kymatio. arXiv
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Turchet L, Bouquet P, Molinari A et al. (2022). The Smart Musical Instruments Ontology. nameOfConference
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Zhao Y, Fazekas G, Sandler M (2022). Violinist Identification Using Note-Level Timbre Feature Distributions. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Zhao Y, Fazekas G, Sandler M (2022). Transfer Learning for Violinist Identification. nameOfConference
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Hayes B, Saitis C, Fazekas G (2021). Neural Waveshaping Synthesis. Proceedings of the 22nd International Society for Music Information Retrieval
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Zhao Y, Wang C, Fazekas G et al. (2021). Violinist identification based on vibrato features. 29th European Signal Processing Conference (EUSIPCO)
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Löbbers S, Barthet M, Fazekas G (2021). Sketching sounds: an exploratory study on sound-shape associations. International Computer Music Conference
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Vahidi C, Fazekas G, Saitis C (2021). A Modulation Front-End for Music Audio Tagging. The International Joint Conference on Neural Networks
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Manco I, Benetos E, Quinton E et al. (2021). MusCaps: generating captions for music audio. International Joint Conference on Neural Networks (IJCNN)
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Singh S (2021). Intelligent control method for the dynamic rangecompressor: A user study. nameOfConference
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Lefford MN, Bromham G, Fazekas G et al. (2021). Context-aware intelligent mixing systems. nameOfConference
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Gabrielli L, Fazekas G, Nam J (2021). Special issue on deep learning for applications in acoustics: Modeling, synthesis, and listening. nameOfConference
DOI: 10.3390/app11020473
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Li S, Jing Y, Fazekas G (2021). A Novel Dataset for the Identification of Computer Generated Melodies in the CSMT Challenge. nameOfConference
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O'Connor B, Dixon S, Fazekas G (2020). An Exploratory Study on Perceptual Spaces of the Singing Voice. The 2020 Joint Conference on AI Music Creativity
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Proutskova P, Volk A, Heidarian P et al. (2020). From Music Ontology Towards Ethno-Music-Ontology. International Society for Music Information Retrieval Conference
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Vahidi C, Fazekas G, Saitis C et al. (2020). Timbre Space Representation of a Subtractive Synthesizer. International Conference on Timbre (Timbre 2020)
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Williams D, Fazenda B, Williamson V et al. (2020). On performance and perceived effort in trail runners using sensor control to generate biosynchronous music. nameOfConference
DOI: 10.3390/s20164528
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Thompson A, Fazekas G, Wiggins G (2020). Poster: Programming Practices among Interactive Audio Software Developers. nameOfConference
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Turchet L, Pauwels J, Fischione C et al. (2020). Cloud-smart Musical Instrument Interactions. nameOfConference
DOI: 10.1145/3377881
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Zhao Y, Fazekas G, Sandler M (2020). Identifying master violinists using note-level audio features. 17th Sound and Music Computing Conference
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Turchet L, Fazekas G, Lagrange M et al. (2020). The Internet of Audio Things: State of the Art, Vision, and Challenges. nameOfConference
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Shatri E, Fazekas G (2020). Optical Music Recognition: State of the Art and Major Challenges. International Conference on Technologies for Music Notation and Representation
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Turchet L, Antoniazzi F, Viola F et al. (2020). The Internet of Musical Things Ontology. nameOfConference
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Thompson A, Fazekas G (2019). A model-view-update framework for interactive web audio applications. nameOfConference
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BROMHAM G, Moffat D, Barthet M et al. (2019). The Impact of Audio Effects Processing on the Perception of Brightness and Warmth. Audio Mostly
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Sheng D, Fazekas G (2019). A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor. nameOfConference
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Liang B, Fazekas G, Sandler M (2019). Transfer Learning for Piano Sustain-Pedal Detection. nameOfConference
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Liang B, Fazekas G, Sandler M (2019). Piano Sustain-pedal Detection Using Convolutional Neural Networks. IEEE International Conference on Acoustics, Speech and Signal Processing
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Xambó A, Font F, Fazekas G et al. (2019). Leveraging Online Audio Commons Content for Media Production. nameOfConference
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Viola F, Turchet L, Antoniazzi F et al. (2018). C Minor: A Semantic Publish/Subscribe Broker for the Internet of Musical Things. nameOfConference
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Turchet L, Viola F, Fazekas G et al. (2018). Towards a Semantic Architecture for the Internet of Musical Things. nameOfConference
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Liang B, Fazekas G, Sandler M (2018). Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure. 26th European Signal Processing Conference (EUSIPCO)
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Viola F, Stolfi A, Milo A et al. (2018). Playsound.space: Enhancing a live music performance tool with semantic recommendations. nameOfConference
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Pauwels J, Xambó A, Roma G et al. (2018). Exploring Real-time Visualisations to Support Chord Learning with a Large Music Collection. 4th Web Audio Conference (WAC)
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Xambó A, Pauwels J, Roma G et al. (2018). Jam with Jamendo: Querying a large music collection by chords from a learner's perspective. nameOfConference
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Pauwels J, Fazekas G, Sandler M (2018). Recommending songs to music learners based on chord content. 2018 Joint Workshop on Machine Learning for Music
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Liang B, Fazekas G, Sandler M (2018). Measurement, Recognition and Visualisation of Piano Pedalling Gestures and Techniques. nameOfConference
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Liang B, Fazekas G, Sandler M (2018). Measurement, recognition, and visualization of piano pedaling gestures and techniques. nameOfConference
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Choi K, Fazekas G, Sandler M et al. (2018). The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging. nameOfConference
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Choi K, Fazekas G, Sandler M et al. (2018). A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. nameOfConference
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Ceriani M, Fazekas G (2018). Audio commons ontology: A data model for an audio content ecosystem. nameOfConference
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Sheng D, Fazekas G (2018). Feature Design Using Audio Decomposition for Intelligent Control of the Dynamic Range Compressor. nameOfConference
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Sheng D, Fazekas G (2018). Feature Selection for Dynamic Range Compressor Parameter Estimation. nameOfConference
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CHOI K, FAZEKAS G, SANDLER M et al. (2017). Transfer learning for music classification and regression tasks. The 18th International Society of Music Information Retrieval (ISMIR) Conference
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Bechhofer S, Page K, Weigl D et al. (2017). Linked Data Publication of Live Music Archives and Analyses. International Semantic Web Conference (ISWC)
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Marengo L, 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
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Page K, Bechhofer S, Fazekas G et al. (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)
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Sheng D, Fazekas G (2017). Automatic Control Of The Dynamic Range Compressor Using A Regression Model And A Reference Sound. nameOfConference
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Wilmering T, Thalmann F, Fazekas G et al. (2017). Bridging Fan Communities and Facilitating Access to Music Archives through Semantic Audio Applications. nameOfConference
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Pauwels J, O hanlon K, Fazekas G et al. (2017). Confidence Measures and Their Applications in Music Labelling Systems Based on Hidden Markov Models. nameOfConference
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Liang B, Fazekas G, Sandler M (2017). Discovering Feature Relevance in Pedalling Analyses of Piano Music. nameOfConference
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Sheng D, Fazekas G (2017). Feature design for intelligent control of the dynamic range compressor using audio decomposition. nameOfConference
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Liang B, Fazekas G, McPherson A et al. (2017). Piano Pedaller: A Measurement System for Classification and Visualisation of Piano Pedalling Techniques. nameOfConference
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Liang B, Fazekas G, Sandler M (2017). Recognition of Piano Pedalling Techniques Using Gesture Data. nameOfConference
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Choi K, Fazekas G, Sandler M et al. (2017). Convolutional Recurrent Neural Networks for Music Classification. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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LIANG B, fazekas G, mcpherson A et al. (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
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CHOI K, sandler M, fazekas G (2016). Text-based LSTM networks for Automatic Music Composition. Conference on Computer Simulation of Musical Creativity
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Thalmann F, Fazekas G, Wiggins GA et al. (2016). Creating, Visualizing, and Analyzing Dynamic Music Objects in the Browser with the Dymo Designer. nameOfConference
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Barthet M, Fazekas G, Thalmann F et al. (2016). Crossroads: Interactive Music Systems Transforming Performance, Production and Listening. nameOfConference
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Barthet M, Fazekas G, Allik A et al. (2016). From interactive to adaptive mood-based music listening experiences in social or personal context. nameOfConference
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Saari P, Fazekas G, Eerola T et al. (2016). Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation. nameOfConference
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Carrillo A, Thalmann F, Fazekas G et al. (2016). Geolocation Adaptive Music Player. nameOfConference
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Chiliguano P, Fazekas G (2016). Hybrid music recommender using content-based and social information. nameOfConference
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Mora-McGinity M, Allik A, Fazekas G et al. (2016). MusicWeb: Music discovery with open linked semantic metadata. nameOfConference
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Mora-Mcginity M, Allik A, Fazekas G et al. (2016). Proc. Metadata and Semantics Research (MTSR), Nov. 22-25, Göttingen, Germany. nameOfConference
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Stables R, De Man B, Enderby S et al. (2016). Semantic description of timbral transformations in music production. nameOfConference
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Thalmann F, Carrillo G, Wiggins GA et al. (2016). The Mobile Audio Ontology: Experiencing Dynamic Music Objects on Mobile Devices. nameOfConference
DOI: 10.1109/ICSC.2016.61
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Thalmann F, Perez Carillo A, Fazekas G et al. (2016). The Semantic Music Player: A Smart Mobile Player Based on Ontological Structures and Analytical Feature Metadata. nameOfConference
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Wilmering T, Fazekas G, Sandler M (2016). The Semantic Web, proc. of the 15th International Semantic Web Conference (ISWC), Oct. 17–21, Kobe, Japan. nameOfConference
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Choi K, Fazekas G, Sandler M (2016). Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. nameOfConference
DOI: 10.1145/1235
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Wilmering T, Fazekas G, Dixon S et al. (2015). Automating Annotation of Media with Linked Data Workflows. nameOfConference
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Mauch M, Cannam C, Bittner R et al. (2015). Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency. nameOfConference
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Barthet M, Fazekas G, Allik A et al. (2015). Moodplay: an interactive mood-based musical experience. nameOfConference
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Thalmann F, Carrillo A, Fazekas G et al. (2015). Navigating Ontological Structures based on Feature Metadata Using the Semantic Music Player. nameOfConference
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Tian M, Fazekas G, Black DAA et al. (2015). On the Use of the Tempogram to Describe Audio Content and its Application to Music Structural Segmentation. nameOfConference
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Zanoni M, Setragno F, Antonacci F et al. (2015). Training-based Semantic Descriptors modeling for violin quality sound characterization. nameOfConference
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Fazekas G, BARTHET M, Sandler MB (2014). Novel Methods in Facilitating Audience and Performer Interaction Using the Mood Conductor Framework. nameOfConference
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Fazekas G, Barthet M, Sandler M (2014). Novel Methods in Facilitating Audience and Performer Interaction using the Mood Conductor Framework. nameOfConference
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Stables R, Enderby S, De Man B et al. (2014). SAFE: A System for Extraction and Retrieval of Semantic Audio Descriptors. nameOfConference
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Allik A, Fazekas G, Dixon S et al. (2013). A Shared Vocabulary for Audio Features. nameOfConference
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Kolozali S, Barthet M, Fazekas G et al. (2013). Automatic Ontology Generation for Musical Instruments Based on Audio Analysis. nameOfConference
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Fazekas G, Sandler MB (2013). DESCRIBING AUDIO PRODUCTION WORKFLOWS ON THE SEMANTIC WEB. nameOfConference
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Allik A, Fazekas G, Dixon S et al. (2013). Facilitating Music Information Research with Shared Open Vocabularies. nameOfConference
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Fazekas G, Barthet M, Sandler MB (2013). Mood Conductor: Emotion-Driven Interactive Music Performance. nameOfConference
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Barthet M, Fazekas G, Sandler M (2013). Music Emotion Recognition: From Content- to Context-Based Models. nameOfConference
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Saari P, Barthet M, Fazekas G et al. (2013). Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags. nameOfConference
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Fazekas G, Barthet M, Sandler M (2013). The BBC Desktop Jukebox music recommendation system: A large-scale trial with professional users. nameOfConference
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Tidhar D, Fazekas G, Mauch M et al. (2011). Tempest - harpsichord temperament estimation in a Semantic Web environment. nameOfConference
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Kolozali S, Barthet M, Fazekas G et al. (2011). Towards the automatic generation of a Semantic Web ontology for musical instruments. nameOfConference
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Fazekas G, Raimond Y, Jacobson K et al. (2010). An Overview of Semantic Web Activities in the OMRAS2 Project. nameOfConference
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