School of Electronic Engineering and Computer Science

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

Introduction to Digital Audio (Undergraduate)

This module covers the entire field of digital audio, including some depth in the subfields and related subjects. It is concerned with the creation, representation, modification and evaluation of digital audio. It introduces the basics of sound, and the key concepts of acoustics that are required to understand how sound is created, represented, transmitted and perceived. The important characteristics of sound are described, such as the intensity, frequency, pitch and timbre. It gives students the knowledge to understand how sound may be accurately represented digitally. Different representations, such as wav, midi and mp3 are introduced. The students are also taught critical listening skills, including the ability to properly create, record and discern sounds, identify subtle problems, identify frequencies, and hear hidden distortions.

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

  • Sheng D, Fazekas G (2019). A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Liang B, Fazekas G, Sandler M (2019). Transfer Learning for Piano Sustain-Pedal Detection. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Liang B, Fazekas G, Sandler M (2019). Piano Sustain-pedal Detection Using Convolutional Neural Networks. IEEE International Conference on Acoustics, Speech and Signal Processing


    QMRO: qmroHref

    Citations: 0
  • Viola F, Turchet L, Antoniazzi F et al. (2018). C Minor: A Semantic Publish/Subscribe Broker for the Internet of Musical Things. nameOfConference


    QMRO: qmroHref

    Citations: 1
  • Turchet L, Viola F, Fazekas G et al. (2018). Towards a Semantic Architecture for the Internet of Musical Things. nameOfConference


    QMRO: qmroHref

    Citations: 1
  • Viola F, Stolfi A, Milo A et al. (2018). Playsound.space: Enhancing a live music performance tool with semantic recommendations. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • 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


    QMRO: qmroHref

    Citations: 0
  • Liang B, Fazekas G, Sandler M (2018). Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure. 26th European Signal Processing Conference (EUSIPCO)



    Citations: 0
  • Liang B, Fazekas G, Sandler M (2018). Measurement, recognition, and visualization of piano pedaling gestures and techniques. nameOfConference



    Citations: 0
  • Choi K, Fazekas G, Sandler M et al. (2018). The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging. nameOfConference



    Citations: 0
  • Choi K, Fazekas G, Sandler M et al. (2018). A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Ceriani M, Fazekas G (2018). Audio commons ontology: A data model for an audio content ecosystem. nameOfConference



    Citations: 0
  • Sheng D, Fazekas G (2018). Feature Design Using Audio Decomposition for Intelligent Control of the Dynamic Range Compressor. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Sheng D, Fazekas G (2018). Feature Selection for Dynamic Range Compressor Parameter Estimation. nameOfConference

    DOI: doi


    Citations: 0
  • 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

    Citations: 0
  • 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

    Citations: 0
  • 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

    Citations: 2
  • Choi K, Fazekas G, Sandler M et al. (2017). Transfer learning for music classification and regression tasks [best paper award]. ISMIR 2017

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • 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


    Citations: 0
  • Bechhofer S, Page K, Weigl D et al. (2017). Linked Data Publication of Live Music Archives and Analyses. International Semantic Web Conference (ISWC)



    Citations: 0
  • Fazekas G, Barthet M, Stockman T (2017). Welcome to Audio Mostly 2017!. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • 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



    Citations: 0
  • 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)



    Citations: 0
  • 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)



    Citations: 0
  • Choi K, Fazekas G, Cho K et al. (2017). A Tutorial on Deep Learning for Music Information Retrieval. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Sheng D, Fazekas G (2017). Automatic Control Of The Dynamic Range Compressor Using A Regression Model And A Reference Sound. nameOfConference

    DOI: doi


    Citations: 0
  • 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

    QMRO: qmroHref

    Citations: 0
  • 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


    Citations: 0
  • Liang B, Fazekas G, Sandler M (2017). Detection of Piano Pedaling Techniques on the Sustain Pedal. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Liang B, Fazekas G, Sandler M (2017). Discovering Feature Relevance in Pedalling Analyses of Piano Music. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Sheng D, Fazekas G (2017). Feature design for intelligent control of the dynamic range compressor using audio decomposition. nameOfConference



    Citations: 0
  • 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


    Citations: 0
  • 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

    Citations: 0
  • Page KR, Bechhofer S, Fazekas G et al. (2017). Realising a Layered Digital Library Exploration and Analysis of the Live Music Archive through Linked Data. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Liang B, Fazekas G, Sandler M (2017). Recognition of Piano Pedalling Techniques Using Gesture Data. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • 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


    Citations: 0
  • Allik A M, Fazekas G SM (2016). Musicweb: Music Discovery with Open Linked Semantic Metadata [Nominee, Best Demo Award]. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • CHOI K, sandler M, fazekas G (2016). Text-based LSTM networks for Automatic Music Composition. Conference on Computer Simulation of Musical Creativity

    DOI: doi


    Citations: 0
  • 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

    Citations: 0
  • Allik A, Fazekas G, Sandler M (2016). An Ontology for Audio Features. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • 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

    Citations: 0
  • Choi K, Fazekas G, Sandler M (2016). Automatic Tagging Using Deep Convolutional Neural Networks. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Thalmann F, Fazekas G, Wiggins GA et al. (2016). Creating, Visualizing, and Analyzing Dynamic Music Objects in the Browser with the Dymo Designer. nameOfConference



    Citations: 0
  • Barthet M, Fazekas G, Thalmann F et al. (2016). Crossroads: Interactive Music Systems Transforming Performance, Production and Listening. nameOfConference

    DOI: doi


    Citations: 0
  • Barthet M, Fazekas G, Allik A et al. (2016). From interactive to adaptive mood-based music listening experiences in social or personal context. nameOfConference



    Citations: 0
  • Saari P, Fazekas G, Eerola T et al. (2016). Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation. nameOfConference



    Citations: 0
  • Carrillo A, Thalmann F, Fazekas G et al. (2016). Geolocation Adaptive Music Player. nameOfConference

    DOI: doi


    Citations: 0
  • Chiliguano P, Fazekas G (2016). Hybrid music recommender using content-based and social information. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Mora-McGinity M, Allik A, Fazekas G et al. (2016). MusicWeb: Music discovery with open linked semantic metadata. nameOfConference


    QMRO: qmroHref

    Citations: 3
  • Juric D, Fazekas G (2016). Proc. Metadata and Semantics Research (MTSR), Nov. 22-25, Göttingen, Germany. nameOfConference



    Citations: 0
  • Stables R, De Man B, Enderby S et al. (2016). Semantic description of timbral transformations in music production. nameOfConference



    Citations: 0
  • Thalmann F, Carrillo G, Wiggins GA et al. (2016). The Mobile Audio Ontology: Experiencing Dynamic Music Objects on Mobile Devices. nameOfConference



    Citations: 0
  • 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


    Citations: 0
  • 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



    Citations: 0
  • Choi K, Fazekas G, Sandler M (2016). Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. nameOfConference



    Citations: 0
  • Allik A, Fazekas G, Barthet M et al. (2016). myMoodplay: An interactive mood-based music discovery app. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • 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

    Citations: 0
  • Wilmering T, Fazekas G, Allik A et al. (2015). Audio effects data on the semantic web. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Wilmering T, Fazekas G, Dixon S et al. (2015). Automating Annotation of Media with Linked Data Workflows. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Mauch M, Cannam C, Bittner R et al. (2015). Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency. nameOfConference

    DOI: doi


    Citations: 0
  • Fazekas G (2015). Convergence of technologies to connect audio with meaning: from Semantic Web ontologies to semantic audio production. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Barthet M, Fazekas G, Allik A et al. (2015). Moodplay: an interactive mood-based musical experience. nameOfConference



    Citations: 0
  • Thalmann F, Carrillo A, Fazekas G et al. (2015). Navigating Ontological Structures based on Feature Metadata Using the Semantic Music Player. nameOfConference

    DOI: doi


    Citations: 0
  • 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

    Citations: 3
  • 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

    Citations: 0
  • Liang B, Fazekas G, Sandler M (2015). The Organ Web App. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • 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

    Citations: 0
  • Zanoni M, Setragno F, Antonacci F et al. (2015). Training-based Semantic Descriptors modeling for violin quality sound characterization. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Choi K, Fazekas G, Sandler M (2015). Understanding Music Playlists. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Fazekas G, BARTHET M, Sandler MB (2014). Novel Methods in Facilitating Audience and Performer Interaction Using the Mood Conductor Framework. nameOfConference



    Citations: 0
  • 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

    Citations: 0
  • Fazekas G, Kudumakis P (2014). A second screen music discovery and recommendation service based on social and cultural factors. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Bechhofer S, Dixon S, Fazekas G et al. (2014). Computational Analysis of the Live Music Archive. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Mora-McGinity M, Fazekas G, Ogilive G (2014). Creating Semantic Links between Research Articles and Music Artists. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Tian M, Fazekas G, Black DAA et al. (2014). Design and Evaluation of Onset Detectors Using Different Fusion Policies. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Mauch M, Cannam C, Fazekas G (2014). Efficient computer-aided pitch track and note estimation for scientific applications. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Lou T, Barthet M, Fazekas G et al. (2014). Evaluation and Improvement of the Mood Conductor Interactive System. nameOfConference

    DOI: doi

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    Citations: 0
  • Font F, Oramas S, Fazekas G et al. (2014). Extending Tagging Ontologies with Domain Specific Knowledge. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Barthet M, Sandler M (2014). Novel Methods in Facilitating Audience and Performer Interaction using the Mood Conductor Framework. nameOfConference



    Citations: 0
  • Stables R, Enderby S, De Man B et al. (2014). SAFE: A System for Extraction and Retrieval of Semantic Audio Descriptors. nameOfConference

    DOI: doi


    Citations: 0
  • 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

    Citations: 0
  • Mora-McGinity M, Ogilvie G, Fazekas G (2014). Semantically Linking Humanities Research Articles and Music Artists. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • De Man B, Mora-Mcginity M, Fazekas G et al. (2014). The Open Multitrack Testbed. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Stables R, Enderby S, De Man B et al. (2014). The SAFE project: Musical semantics in the DAW. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Kolozali S, Barthet M, Fazekas G et al. (2013). Automatic Ontology Generation for Musical Instruments Based on Audio Analysis. nameOfConference


    QMRO: qmroHref

    Citations: 11
  • Allik A, Fazekas G, Dixon S et al. (2013). A Shared Vocabulary for Audio Features. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • 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

    Citations: 0
  • Wilmering T, Fazekas G, Sandler M (2013). Audio Effect Classification Based on Auditory Perceptual Attributes. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Tian M, Black DAA, Fazekas G et al. (2013). Content-based Emotion Categorisation Analysis of Chinese Cultural Revolution Songs. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Sandler MB, IEEE (2013). DESCRIBING AUDIO PRODUCTION WORKFLOWS ON THE SEMANTIC WEB. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • 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

    Citations: 0
  • Barthet M, Marston D, Baume C et al. (2013). Design and evaluation of semantic mood models for music recommendation. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 2
  • 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

    Citations: 0
  • Allik A, Fazekas G, Dixon S et al. (2013). Facilitating Music Information Research with Shared Open Vocabularies. nameOfConference


    QMRO: qmroHref

    Citations: 1
  • Fazekas G, Barthet M, Sandler MB et al. (2013). Mood Conductor: Emotion-Driven Interactive Music Performance. nameOfConference


    QMRO: qmroHref

    Citations: 1
  • Barthet M, Fazekas G, Sandler M (2013). Music Emotion Recognition: From Content- to Context-Based Models. nameOfConference



    Citations: 0
  • Wilmering T, Fazekas G, Sandler M (2013). Semantic Metadata for Music Production Projects. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • 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

    Citations: 0
  • Wilmering T, Fazekas G, Sandler M (2013). The Audio Effects Ontology. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Barthet M, Sandler M (2013). The BBC Desktop Jukebox music recommendation system: A large-scale trial with professional users. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • 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

    Citations: 0
  • 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

    Citations: 0
  • 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

    Citations: 0
  • 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

    Citations: 0
  • 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

    Citations: 0
  • Wilmering T, Fazekas G, Sandler M (2012). High level semantic metadata for the control of multitrack adaptive audio effects. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Sandler M (2012). Knowledge Representation Issues in Audio-Related Metadata Model Design. nameOfConference

    DOI: doi

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    Citations: 0
  • Terrell MJ, Fazekas G, Simpson AJR et al. (2012). Listening level changes music similarity. nameOfConference

    DOI: doi

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    Citations: 0
  • Barthet M, Fazekas G, Sandler M (2012). Multidisciplinary Perspectives on Music Emotion Recognition: Implications for Content and Context-Based Models. nameOfConference

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    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Wilmering T (2012). Semantic Web and Semantic Audio Technologies. nameOfConference

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    Citations: 0
  • Fazekas G, Ewert S, Allik A et al. (2012). Shared Open Vocabularies and Semantic Media. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Barthet M, Fazekas G, Dixon S et al. (2012). Social Media Retrieval for Music Education. nameOfConference

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    Citations: 0
  • 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

    Citations: 0
  • Fazekas G, Sandler MB (2011). The studio ontology framework. nameOfConference

    DOI: doi

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    Citations: 16
  • Wilmering T, Fazekas G, Sandler MB (2011). Towards ontological representations of digital audio effects. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 3
  • Fazekas G, Wilmering T, Sandler MB (2011). A knowledge representation framework for context-dependent audio processing. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Kolozali S, Fazekas G, Barthet M et al. (2011). Knowledge representation issues in musical instrument ontology design. nameOfConference

    DOI: doi

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    Citations: 0
  • Barthet M, Anglade A, Fazekas G et al. (2011). Music recommendation for music learning: Hotttabs a multimedia guitar tutor. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Tidhar D, Fazekas G, Mauch M et al. (2011). Tempest - harpsichord temperament estimation in a Semantic Web environment. nameOfConference


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    Citations: 0
  • Fazekas G, Sandler M (2011). The Studio Ontology Framework. nameOfConference

    DOI: doi

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    Citations: 0
  • Wilmering T, Fazekas G, Sandler MB (2011). Towards ontological representations of digital audio effects. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Kolozali S, Barthet M, Fazekas G et al. (2011). Towards the automatic generation of a Semantic Web ontology for musical instruments. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Raimond Y, Jacobson K et al. (2010). An Overview of Semantic Web Activities in the OMRAS2 Project. nameOfConference


    QMRO: qmroHref

    Citations: 2
  • Fazekas G, Tidhar D (2010). TempEst - Temperament estimation Web service. nameOfConference

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    QMRO: qmroHref

    Citations: 0
  • Tidhar D, Fazekas G, Mauch M et al. (2010). Temperament Estimation as an MIR task. nameOfConference

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    QMRO: qmroHref

    Citations: 0
  • Wilmering T, Fazekas G, Sandler M (2010). The effects of reverberation on onset detection tasks. nameOfConference

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    QMRO: qmroHref

    Citations: 0
  • Raimond Y, Gängler T, Giasson F et al. (2010). The music ontology specification. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Kolozali S, Barthet M, Fazekas G et al. (2010). The musical instrument ontology. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Kolozali S, Barthet M, Fazekas G et al. (2010). Towards the automatic generation of a Semantic Web ontology for musical instruments. nameOfConference

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    QMRO: qmroHref

    Citations: 0
  • Cannam C, Fazekas G, Noland K (2009). A Demonstration of Sonic Visualiser. nameOfConference

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    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Cannam C, Sandler M (2009). A Simple Guide to Automated Music Analysis on the Semantic Web (white paper). nameOfConference

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    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Sandler M (2009). Novel methods in information management for advanced audio workflows. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Sandler M (2009). Ontology based information management in music production. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Tidhar D, Fazekas G, Kolozali S et al. (2009). Publishing Music Similarity Features on the Semantic Web. nameOfConference

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    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Cannam C, Sandler M (2009). Reusable metadata and software components for automatic audio analysis. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Sandler M (2009). Uncovering the details of music production using ontologies. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Raimond Y, Sandler M (2008). A framework for producing rich musical metadata in creative music production. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Sandler M (2008). Ontology based information management in music production. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Sandler M (2007). Intelligent editing of studio recordings with the help of automatic music structure extraction. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Fazekas G, Sandler M (2007). Structural decomposition of recorded vocal performances and its application to intelligent audio editing. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0