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Dr George Fazekas

George

Senior Lecturer

Email: g.fazekas@qmul.ac.uk
Telephone: +44 20 7882 8024
Room Number: Peter Landin, CS 419A
Website: 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

  • Vanka S, Safi M, Rolland J-B et al. (2024). The Role of Communication and Reference Songs in the Mixing Process: Insights from Professional Mix Engineers. nameOfConference


  • Qian K, Fazekas G, Li S et al. (publicationYear). Editorial: Human-centred computer audition: sound, music, and healthcare. nameOfConference


    QMRO: qmroHref
  • Tang J, Wiggins G, Fazekas G (2023). Pianist Identification Using Convolutional Neural Networks. 2023 4th International Symposium on the Internet of Sounds


    QMRO: qmroHref
  • Rice M, Steinmetz CJ, Fazekas G et al. (2023). General Purpose Audio Effect Removal. 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)


  • Vahidi C, Singh S, Benetos E et al. (2023). Perceptual musical similarity metric learning with graph neural networks. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)


  • Vahidi C, Han H, Wang C et al. (publicationYear). Mesostructures: Beyond Spectrogram Loss in Differentiable Time–Frequency Analysis. nameOfConference


    QMRO: qmroHref
  • Bolt J, Fazekas G (2023). Supervised Contrastive Learning For Musical Onset Detection. Audio Mostly


    QMRO: qmroHref
  • Wilson E, Fazekas G, Wiggins G (2023). On the Integration of Machine Agents into Live Coding. nameOfConference


  • Ceriani M, Viola F, Rudan S et al. (2023). Semantic integration of audio content providers through the Audio Commons Ontology. nameOfConference


    QMRO: qmroHref
  • Yu C-Y, Yeh S-L, Fazekas G et al. (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)


    QMRO: qmroHref
  • Rafee SRM, Fazekas G, 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)


    QMRO: qmroHref
  • Diaz R, Hayes B, Saitis C et al. (2023). Rigid-Body Sound Synthesis with Differentiable Modal Resonators. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)


  • Hayes B, Saitis C, Fazekas G (2023). Sinusoidal Frequency Estimation by Gradient Descent. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)


  • Vanka S, Safi M, Rolland J-B et al. (2023). Adoption of AI Technology in the Music Mixing Workflow: An Investigation. AES Europe Convention 2023

    DOI: doi

  • Löbbers S, Thorpe L, Fazekas G (2023). SketchSynth: Cross-Modal Control of Sound Synthesis. nameOfConference


    QMRO: qmroHref
  • Turchet L, Lagrange M, Rottondi C et al. (2023). The Internet of Sounds: Convergent Trends, Insights, and Future Directions. nameOfConference


    QMRO: qmroHref
  • Zhao Y, Fazekas G, Sandler M (publicationYear). Transfer Learning for Violinist Identification. 2022 30th European Signal Processing Conference (EUSIPCO)


    QMRO: qmroHref
  • L�bbers S, Fazekas G (2022). Seeing Sounds, Hearing Shapes: a gamified study to evaluate sound-sketches. International Computer Music Conference

    DOI: doi

  • Proutskova P, Wolff D, Fazekas G et al. (2022). The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. nameOfConference


  • 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


  • Hayes B, Saitis C, Fazekas G (2022). Disembodied Timbres: A Study on Semantically Prompted FM Synthesis. nameOfConference


  • Vahidi C, Muradeli J, Wang C et al. (publicationYear). Differentiable Time-Frequency Scattering in Kymatio. arXiv


  • Turchet L, Bouquet P, Molinari A et al. (2022). The Smart Musical Instruments Ontology. nameOfConference


    QMRO: qmroHref
  • 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)


  • Bromham G, Moffat D, Sheng D et al. (2022). Measuring Audibility Threshold Levels for Attack and Release in a Dynamic Range Compressor. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Hayes B, Saitis C, Fazekas G (2022). timbre.fun: A gamified interactive system for crowdsourcing a timbre semantic vocabulary. nameOfConference

    DOI: doi

  • Hayes B, Saitis C, Fazekas G (2021). Neural Waveshaping Synthesis. Proceedings of the 22nd International Society for Music Information Retrieval

    DOI: doi

  • Zhao Y, Wang C, Fazekas G et al. (2021). Violinist identification based on vibrato features. 29th European Signal Processing Conference (EUSIPCO)


  • Löbbers S, Barthet M, Fazekas G (2021). Sketching sounds: an exploratory study on sound-shape associations. International Computer Music Conference

    DOI: doi

  • Vahidi C, Fazekas G, Saitis C (2021). A Modulation Front-End for Music Audio Tagging. The International Joint Conference on Neural Networks


  • Manco I, Benetos E, Quinton E et al. (2021). MusCaps: generating captions for music audio. International Joint Conference on Neural Networks (IJCNN)


  • Singh S (2021). Intelligent control method for the dynamic rangecompressor: A user study. nameOfConference


  • Li S, Jing Y, Fazekas G (2021). A Novel Dataset for the Identification of Computer Generated Melodies in the CSMT Challenge. nameOfConference


    QMRO: qmroHref
  • Lefford MN, Bromham G, Fazekas G et al. (publicationYear). Context-Aware Intelligent Mixing Systems. nameOfConference


    QMRO: qmroHref
  • Gabrielli L, Fazekas G, Nam J (publicationYear). Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening. nameOfConference


    QMRO: qmroHref
  • Rafee SRM, Fazekas G, Wiggins GA (2021). Performer Identification From Symbolic Representation of Music Using Statistical Models. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • 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

    DOI: doi

  • Proutskova P, Volk A, Heidarian P et al. (2020). From Music Ontology Towards Ethno-Music-Ontology. International Society for Music Information Retrieval Conference

    DOI: doi

  • Vahidi C, Fazekas G, Saitis C et al. (2020). Timbre Space Representation of a Subtractive Synthesizer. International Conference on Timbre (Timbre 2020)

    DOI: doi

  • Thompson A, Fazekas G, Wiggins G (2020). Poster: Programming Practices Among Interactive Audio Software Developers. 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)


    QMRO: qmroHref
  • 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


  • Turchet L, Pauwels J, Fischione C et al. (2020). Cloud-smart Musical Instrument Interactions. nameOfConference


  • Zhao Y, Fazekas G, Sandler M (2020). Identifying master violinists using note-level audio features. 17th Sound and Music Computing Conference

    DOI: doi

  • Turchet L, Fazekas G, Lagrange M et al. (2020). The Internet of Audio Things: State of the Art, Vision, and Challenges. nameOfConference


  • Shatri E, Fazekas G (2020). Optical Music Recognition: State of the Art and Major Challenges. International Conference on Technologies for Music Notation and Representation

    DOI: doi

  • Turchet L, Antoniazzi F, Viola F et al. (2020). The Internet of Musical Things Ontology. nameOfConference


  • Williams D, Fazenda B, Williamson V et al. (2020). Biophysiologically synchronous computer generated music improves performance and reduces perceived effort in trail runners. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Proutskova P, Volk A, Heidarian P et al. (2020). FROM MUSIC ONTOLOGY TOWARDS ETHNO-MUSIC-ONTOLOGY. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Thompson A, 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


    QMRO: qmroHref
  • BROMHAM G, Moffat D, Barthet M et al. (2019). The Impact of Audio Effects Processing on the Perception of Brightness and Warmth. Audio Mostly


    QMRO: qmroHref
  • Sheng D, Fazekas G (2019). A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor. 2019 International Joint Conference on Neural Networks (IJCNN)


  • Liang B, Fazekas G, Sandler M (2019). Transfer Learning for Piano Sustain-Pedal Detection. 2019 International Joint Conference on Neural Networks (IJCNN)


  • Xambó A, Font F, Fazekas G et al. (publicationYear). Leveraging Online Audio Commons Content for Media Production. nameOfConference


    QMRO: qmroHref
  • Liang B, Fazekas G, Sandler M (2019). Piano Sustain-pedal Detection Using Convolutional Neural Networks. IEEE International Conference on Acoustics, Speech and Signal Processing


  • Liang B, Fazekas G, Sandler M (2018). Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure. 26th European Signal Processing Conference (EUSIPCO)


  • Viola F, Turchet L, Antoniazzi F et al. (2018). C Minor: a Semantic Publish/Subscribe Broker for the Internet of Musical Things. 2018 23rd Conference of Open Innovations Association (FRUCT)


  • Turchet L, Viola F, Fazekas G et al. (2018). Towards a Semantic Architecture for the Internet of Musical Things. 2018 23rd Conference of Open Innovations Association (FRUCT)


  • Viola F, Stolfi A, Milo A et al. (2018). Playsound.space. Proceedings of the 1st International Workshop on Semantic Applications for Audio and Music


    QMRO: qmroHref
  • Bechhofer S, Fazekas G, Page K (2018). Preface. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • 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)

    DOI: doi

  • Ceriani M, Fazekas G (2018). Audio Commons Ontology: A Data Model for an Audio Content Ecosystem. nameOfConference


  • Xambó A, Pauwels J, Roma G et al. (2018). Jam with Jamendo. Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion


    QMRO: qmroHref
  • Pauwels J, Fazekas G, Sandler M (2018). Recommending songs to music learners based on chord content. 2018 Joint Workshop on Machine Learning for Music

    DOI: doi

  • Liang B, Fazekas G, Sandler M (2018). Measurement, Recognition and Visualisation of Piano Pedalling Gestures and Techniques. nameOfConference


  • Liang B, Fazekas G, Sandler M (2018). Measurement, recognition, and visualization of piano pedaling gestures and techniques. nameOfConference


  • Choi K, Fazekas G, Sandler M et al. (2018). The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging. nameOfConference


  • Choi K, Fazekas G, Sandler M et al. (2018). A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. nameOfConference


  • Sheng D, Fazekas G (2018). Feature Design Using Audio Decomposition for Intelligent Control of the Dynamic Range Compressor. nameOfConference


  • Sheng D, Fazekas G (2018). Feature Selection for Dynamic Range Compressor Parameter Estimation. nameOfConference

    DOI: doi

  • Marengo L, Fazekas G, Tombros A (2018). I Wonder... Inquiry Techniques As A Method To Gain Insights Into People’s Encounters With Visual Art. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Xambo A, Roma G, Lerch A et al. (2018). Live Repurposing of Sounds: MIR Explorations with Personal and Crowd-sourced Databases. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Bromham G, Moffat D, Barthet M et al. (2018). The impact of compressor ballistics on the perceived style of music. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Choi K, Fazekas G, Sandler M et al. (2017). Transfer learning for music classification and regression tasks. ISMIR 2017

    DOI: doi

    QMRO: qmroHref
  • 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

    DOI: doi

  • Bechhofer S, Page K, Weigl D et al. (2017). Linked Data Publication of Live Music Archives and Analyses. International Semantic Web Conference (ISWC)


  • Fazekas G, Barthet M, Stockman T (2017). Welcome to Audio Mostly 2017!. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • 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


  • 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)


  • Choi K, Fazekas G, Cho K et al. (2017). A Tutorial on Deep Learning for Music Information Retrieval. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Sheng D, Fazekas G (2017). Automatic Control Of The Dynamic Range Compressor Using A Regression Model And A Reference Sound. nameOfConference

    DOI: doi

  • Wilmering T, Thalmann F, Fazekas G et al. (2017). Bridging Fan Communities and Facilitating Access to Music Archives through Semantic Audio Applications. nameOfConference

    DOI: doi

  • 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

    DOI: doi

  • Liang B, Fazekas G, Sandler M (2017). Detection of Piano Pedaling Techniques on the Sustain Pedal. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Liang B, Fazekas G, Sandler M (2017). Discovering Feature Relevance in Pedalling Analyses of Piano Music. nameOfConference


    QMRO: qmroHref
  • Sheng D, Fazekas G (2017). Feature design for intelligent control of the dynamic range compressor using audio decomposition. nameOfConference


  • Liang B, Fazekas G, McPherson A et al. (2017). Piano Pedaller: A Measurement System for Classification and Visualisation of Piano Pedalling Techniques. nameOfConference

    DOI: doi

  • Fazekas G, Barthet M, 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.. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Liang B, Fazekas G, Sandler M (2017). Recognition of Piano Pedalling Techniques Using Gesture Data. nameOfConference


    QMRO: qmroHref
  • 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)


  • 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

    DOI: doi

  • Allik A M, Fazekas G SM (2016). Musicweb: Music Discovery with Open Linked Semantic Metadata [Nominee, Best Demo Award]. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • CHOI K, sandler M, fazekas G (2016). Text-based LSTM networks for Automatic Music Composition. Conference on Computer Simulation of Musical Creativity

    DOI: doi

  • Buccoli M, Zanoni M, Fazekas G et al. (2016). A Higher-Dimensional Expansion of Affective Norms for English Terms for Music Tagging. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Allik A, Fazekas G, Sandler M (2016). An Ontology for Audio Features. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Font F, Brookes T, Fazekas G et al. (2016). Audio Commons: Bringing Creative Commons Audio Content to the Creative Industries. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Choi K, Fazekas G, Sandler M (2016). Automatic Tagging Using Deep Convolutional Neural Networks. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Thalmann F, Fazekas G, Wiggins GA et al. (2016). Creating, Visualizing, and Analyzing Dynamic Music Objects in the Browser with the Dymo Designer. nameOfConference


  • Barthet M, Fazekas G, Thalmann F et al. (2016). Crossroads: Interactive Music Systems Transforming Performance, Production and Listening. nameOfConference

    DOI: doi

  • Barthet M, Fazekas G, Allik A et al. (2016). From interactive to adaptive mood-based music listening experiences in social or personal context. nameOfConference


  • Saari P, Fazekas G, Eerola T et al. (2016). Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation. nameOfConference


  • Carrillo A, Thalmann F, Fazekas G et al. (2016). Geolocation Adaptive Music Player. nameOfConference

    DOI: doi

  • Chiliguano P, Fazekas G (2016). Hybrid music recommender using content-based and social information. nameOfConference


    QMRO: qmroHref
  • Mora-McGinity M, Allik A, Fazekas G et al. (2016). MusicWeb: Music discovery with open linked semantic metadata. nameOfConference


    QMRO: qmroHref
  • Mora-Mcginity M, Allik A, Fazekas G et al. (2016). Proc. Metadata and Semantics Research (MTSR), Nov. 22-25, Göttingen, Germany. nameOfConference


  • Stables R, De Man B, Enderby S et al. (2016). Semantic description of timbral transformations in music production. nameOfConference


  • Thalmann F, Carrillo G, Wiggins GA et al. (2016). The Mobile Audio Ontology: Experiencing Dynamic Music Objects on Mobile Devices. nameOfConference


  • 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

    DOI: doi

  • 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


  • Choi K, Fazekas G, Sandler M (2016). Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. nameOfConference


  • Allik A, Fazekas G, Barthet M et al. (2016). myMoodplay: An interactive mood-based music discovery app. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • CHOI K, Fazekas G, sandler MARK et al. (2015). Auralisation of Deep Convolutional Neural Networks: Listening to Learned Features. International Society for Music Information Retrieval Conference

    DOI: doi

    QMRO: qmroHref
  • Wilmering T, Fazekas G, Allik A et al. (2015). Audio effects data on the semantic web. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Wilmering T, Fazekas G, Dixon S et al. (2015). Automating Annotation of Media with Linked Data Workflows. nameOfConference


    QMRO: qmroHref
  • Mauch M, Cannam C, Bittner R et al. (2015). Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency. nameOfConference

    DOI: doi

  • Fazekas G (2015). Convergence of technologies to connect audio with meaning: from Semantic Web ontologies to semantic audio production. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Barthet M, Fazekas G, Allik A et al. (2015). Moodplay: an interactive mood-based musical experience. nameOfConference


  • Thalmann F, Carrillo A, Fazekas G et al. (2015). Navigating Ontological Structures based on Feature Metadata Using the Semantic Music Player. nameOfConference

    DOI: doi

  • 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

    DOI: doi

    QMRO: qmroHref
  • 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


    QMRO: qmroHref
  • Liang B, Fazekas G, Sandler M (2015). The Organ Web App. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Wilmering T, Fazekas G, Dixon S et al. (2015). Towards High Level Feature Extraction from Large Live Music Recording Archives. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Zanoni M, Setragno F, Antonacci F et al. (2015). Training-based Semantic Descriptors modeling for violin quality sound characterization. nameOfConference

    DOI: doi

  • Choi K, Fazekas G, Sandler M (2015). Understanding Music Playlists. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, BARTHET M, Sandler MB (2014). Novel Methods in Facilitating Audience and Performer Interaction Using the Mood Conductor Framework. nameOfConference


  • Kolozali S, Fazekas G, Barthet M et al. (2014). A framework for automatic ontology generation based on semantic audio analysis. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Kudumakis P (2014). A second screen music discovery and recommendation service based on social and cultural factors. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Bechhofer S, Dixon S, Fazekas G et al. (2014). Computational Analysis of the Live Music Archive. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Mora-McGinity M, Fazekas G, Ogilive G (2014). Creating Semantic Links between Research Articles and Music Artists. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Tian M, Fazekas G, Black DAA et al. (2014). Design and Evaluation of Onset Detectors Using Different Fusion Policies. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Mauch M, Cannam C, Fazekas G (2014). Efficient computer-aided pitch track and note estimation for scientific applications. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lou T, Barthet M, Fazekas G et al. (2014). Evaluation and Improvement of the Mood Conductor Interactive System. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Font F, Oramas S, Fazekas G et al. (2014). Extending Tagging Ontologies with Domain Specific Knowledge. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Barthet M, Sandler M (2014). Novel Methods in Facilitating Audience and Performer Interaction using the Mood Conductor Framework. nameOfConference


  • Stables R, Enderby S, De Man B et al. (2014). SAFE: A System for Extraction and Retrieval of Semantic Audio Descriptors. nameOfConference

    DOI: doi

  • Baume C, Fazekas G, Barthet M et al. (2014). Selection of audio features for music emotion recognition using production music. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Mora-McGinity M, Ogilvie G, Fazekas G (2014). Semantically Linking Humanities Research Articles and Music Artists. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • De Man B, Mora-Mcginity M, Fazekas G et al. (2014). The Open Multitrack Testbed. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Stables R, Enderby S, De Man B et al. (2014). The SAFE project: Musical semantics in the DAW. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Allik A, Fazekas G, Dixon S et al. (2013). A Shared Vocabulary for Audio Features. nameOfConference


    QMRO: qmroHref
  • Kosta K, Song Y, Fazekas G et al. (2013). A Study of Cultural Dependence of Perceived Mood in Greek Music. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Wilmering T, Fazekas G, Sandler M (2013). Audio Effect Classification Based on Auditory Perceptual Attributes. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Kolozali S, Barthet M, Fazekas G et al. (2013). Automatic Ontology Generation for Musical Instruments Based on Audio Analysis. nameOfConference


    QMRO: qmroHref
  • Tian M, Black DAA, Fazekas G et al. (2013). Content-based Emotion Categorisation Analysis of Chinese Cultural Revolution Songs. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Sandler MB (2013). DESCRIBING AUDIO PRODUCTION WORKFLOWS ON THE SEMANTIC WEB. nameOfConference


    QMRO: qmroHref
  • Barthet M, Marston D, Baume C et al. (2013). Design and Evaluation of Semantic Mood Models for Music Recommendation Using Editorial Tags. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Barthet M, Marston D, Baume C et al. (2013). Design and evaluation of semantic mood models for music recommendation. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lou T, Barthet M, Fazekas G et al. (2013). Evaluation of the Mood Conductor Interactive System Based on Audience and Performers’ Perspectives. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Allik A, Fazekas G, Dixon S et al. (2013). Facilitating Music Information Research with Shared Open Vocabularies. nameOfConference


    QMRO: qmroHref
  • Fazekas G, Barthet M, Sandler MB (2013). Mood Conductor: Emotion-Driven Interactive Music Performance. nameOfConference


    QMRO: qmroHref
  • Barthet M, Fazekas G, Sandler M (2013). Music Emotion Recognition: From Content- to Context-Based Models. nameOfConference


  • Wilmering T, Fazekas G, Sandler M (2013). Semantic Metadata for Music Production Projects. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Saari P, Barthet M, Fazekas G et al. (2013). Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags. nameOfConference


    QMRO: qmroHref
  • Wilmering T, Fazekas G, Sandler M (2013). The Audio Effects Ontology. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Barthet M, Sandler M (2013). The BBC Desktop Jukebox music recommendation system: A large-scale trial with professional users. nameOfConference


    QMRO: qmroHref
  • Fazekas G, Barthet M, Sandler M (2013). The Mood Conductor System: Audience and Performer Interaction using Mobile Technology and Emotion Cues. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Saari P, Eerola T, Fazekas G et al. (2013). The Role of Audio and Tags in Music Mood Prediction: a Study Using Semantic Layer Projection. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Tian M, Fazekas G, Black DAA et al. (2013). Towards the Representation of Chinese Traditional Music: A State of the Art Review of Music Metadata Standards. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Saari P, Eerola T, Fazekas G et al. (2013). Using Semantic Layer Projection for Enhancing Music Mood Prediction With Audio Features. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Song Y, Dixon S, Pearce M et al. (2013). Using Tags to Select Stimuli in the Study of Music and Emotion. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Wilmering T, Fazekas G, Sandler M (2012). High level semantic metadata for the control of multitrack adaptive audio effects. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Sandler M (2012). Knowledge Representation Issues in Audio-Related Metadata Model Design. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Terrell MJ, Fazekas G, Simpson AJR et al. (2012). Listening level changes music similarity. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Barthet M, Fazekas G, Sandler M (2012). Multidisciplinary Perspectives on Music Emotion Recognition: Implications for Content and Context-Based Models. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Wilmering T (2012). Semantic Web and Semantic Audio Technologies. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Ewert S, Allik A et al. (2012). Shared Open Vocabularies and Semantic Media. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Barthet M, Fazekas G, Dixon S et al. (2012). Social Media Retrieval for Music Education. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Rumsey F, Schulein B, Herre J et al. (2012). Technology Trends in Auto Engineering A report by the AES Technical Council. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Sandler MB (2011). The studio ontology framework. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Wilmering T, Sandler MB (2011). A knowledge representation framework for context-dependent audio processing. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Kolozali S, Fazekas G, Barthet M et al. (2011). Knowledge representation issues in musical instrument ontology design. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Barthet M, Anglade A, Fazekas G et al. (2011). Music recommendation for music learning: Hotttabs a multimedia guitar tutor. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Tidhar D, Fazekas G, Mauch M et al. (2011). Tempest - harpsichord temperament estimation in a Semantic Web environment. nameOfConference


    QMRO: qmroHref
  • Fazekas G, Sandler M (2011). The Studio Ontology Framework. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Wilmering T, Fazekas G, Sandler MB (2011). Towards ontological representations of digital audio effects. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Kolozali S, Barthet M, Fazekas G et al. (2011). Towards the automatic generation of a Semantic Web ontology for musical instruments. nameOfConference


    QMRO: qmroHref
  • Fazekas G, Raimond Y, Jacobson K et al. (2010). An Overview of Semantic Web Activities in the OMRAS2 Project. nameOfConference


    QMRO: qmroHref
  • Fazekas G, Tidhar D (2010). TempEst - Temperament estimation Web service. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Tidhar D, Fazekas G, Mauch M et al. (2010). Temperament Estimation as an MIR task. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Wilmering T, Fazekas G, Sandler M (2010). The effects of reverberation on onset detection tasks. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Raimond Y, Gängler T, Giasson F et al. (2010). The music ontology specification. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Kolozali S, Barthet M, Fazekas G et al. (2010). The musical instrument ontology. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Kolozali S, Barthet M, Fazekas G et al. (2010). Towards the automatic generation of a Semantic Web ontology for musical instruments. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Cannam C, Fazekas G, Noland K (2009). A Demonstration of Sonic Visualiser. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Cannam C, Sandler M (2009). A Simple Guide to Automated Music Analysis on the Semantic Web (white paper). nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Sandler M (2009). Novel methods in information management for advanced audio workflows. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Sandler M (2009). Ontology based information management in music production. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Tidhar D, Fazekas G, Kolozali S et al. (2009). Publishing Music Similarity Features on the Semantic Web. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Cannam C, Sandler M (2009). Reusable metadata and software components for automatic audio analysis. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Sandler M (2009). Uncovering the details of music production using ontologies. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Raimond Y, Sandler M (2008). A framework for producing rich musical metadata in creative music production. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Sandler M (2008). Ontology based information management in music production. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Sandler M (2007). Intelligent editing of studio recordings with the help of automatic music structure extraction. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Fazekas G, Sandler M (2007). Structural decomposition of recorded vocal performances and its application to intelligent audio editing. nameOfConference

    DOI: doi

    QMRO: qmroHref
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