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Publications:  Mr Gyorgy Fazekas

Turchet L, Antoniazzi F, Viola F, Giunchiglia F, Fazekas G(2020). The Internet of Musical Things Ontology. Journal of Web Semantics vol. 60,
10.1016/j.websem.2020.100548
Thompson A, Fazekas G (2019). A model-view-update framework for interactive web audio applications. ACM International Conference Proceeding Series. 219-222.
10.1145/3356590.3356623
BROMHAM G, Moffat D, Barthet M, Daneilsen A, Fazekas G (2019). The Impact of Audio Effects Processing on the Perception of Brightness and Warmth. Conference: Audio Mostly (Nottingham, UK) from: 17/09/2019 to: 20/09/2019,
10.1145/3356590.3356618
Sheng D, Fazekas G (2019). A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor. Proceedings of the International Joint Conference on Neural Networks. vol. 2019-July,
10.1109/IJCNN.2019.8851950
Liang B, Fazekas G, Sandler M (2019). Transfer Learning for Piano Sustain-Pedal Detection. Proceedings of the International Joint Conference on Neural Networks. vol. 2019-July,
10.1109/IJCNN.2019.8851724
Liang B, Fazekas G, Sandler M (2019). Piano Sustain-pedal Detection Using Convolutional Neural Networks. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Conference: IEEE International Conference on Acoustics, Speech and Signal Processing vol. 2019-May, 241-245.
10.1109/ICASSP.2019.8683505
Viola F, Turchet L, Antoniazzi F, Fazekas G (2018). C Minor: A Semantic Publish/Subscribe Broker for the Internet of Musical Things. Conference of Open Innovation Association, FRUCT. vol. 2018-November, 405-415.
10.23919/FRUCT.2018.8588087
Turchet L, Viola F, Fazekas G, Barthet M (2018). Towards a Semantic Architecture for the Internet of Musical Things. Conference of Open Innovation Association, FRUCT. vol. 2018-November, 382-390.
10.23919/FRUCT.2018.8587917
Liang B, Fazekas G, Sandler M (2018). Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure. Proceedings of the 26th European Signal Processing Conference (EUSIPCO 2018). Conference: 26th European Signal Processing Conference (EUSIPCO) (Rome) from: 03/09/2018 to: 07/09/2018, 2484-2488.
10.23919/EUSIPCO.2018.8553341
https://qmro.qmul.ac.uk/xmlui/handle/123456789/54204
Viola F, Stolfi A, Milo A, Ceriani M, Barthet M, Fazekas G (2018). Playsound.space: Enhancing a live music performance tool with semantic recommendations. ACM International Conference Proceeding Series. 46-53.
10.1145/3243907.3243908
Bechhofer S, Fazekas G, Page K (2018). Preface. ACM International Conference Proceeding Series.
Xambó A, Pauwels J, Roma G, Barthet M, Fazekas G (2018). Jam with Jamendo: Querying a large music collection by chords from a learner's perspective. ACM International Conference Proceeding Series.
10.1145/3243274.3243291
Liang B, Fazekas G, 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.
10.17743/jaes.2018.0035
https://qmro.qmul.ac.uk/xmlui/handle/123456789/42024
Choi K, Fazekas G, Sandler M, Cho K(2018). The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging. IEEE Transactions on Emerging Topics in Computational Intelligence vol. 2, (2) Article 2, 139-149.
10.1109/TETCI.2017.2771298
https://qmro.qmul.ac.uk/xmlui/handle/123456789/30523
Choi K, Fazekas G, Sandler M, Cho K (2018). A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. Proc. of the 26th European Signal Processing Conference (EUSIPCO 2018), 3-7 Sept, Rome, Italy.
10.23919/EUSIPCO.2018.8553106
Ceriani M, Fazekas G (2018). Audio commons ontology: A data model for an audio content ecosystem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 11137 LNCS, 20-35.
10.1007/978-3-030-00668-6_2
https://qmro.qmul.ac.uk/xmlui/handle/123456789/43143
Sheng D, Fazekas G (2018). Feature Design Using Audio Decomposition for Intelligent Control of the Dynamic Range Compressor. Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 15-20, Calgary, Canada..
10.1109/ICASSP.2018.8461513
Sheng D, Fazekas G (2018). Feature Selection for Dynamic Range Compressor Parameter Estimation. Proc. of the 144th Convention of the Audio Engineering Society, 23-26 May, Milan, Italy.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/40945
Marengo L, Fazekas G, Tombros A (2018). I Wonder... Inquiry Techniques As A Method To Gain Insights Into People’s Encounters With Visual Art. Proc. International Conference on Museums and the Web 2018, April 18-21, Vancouver, Canada..
Xambo A, Roma G, Lerch A, Barthet M, Fazekas G (2018). Live Repurposing of Sounds: MIR Explorations with Personal and Crowd-sourced Databases. Proc. of the New Interfaces for Musical Expression (NIME), 3-6 June, Blacksburg, VA, USA..
Bromham G, Moffat D, Barthet M, Fazekas G (2018). The impact of compressor ballistics on the perceived style of music. 145th Audio Engineering Society International Convention, AES 2018.
Choi K, Fazekas G, Sandler M, Cho K (2017). Transfer learning for music classification and regression tasks [best paper award]. Proc. 18th International Society for Music Information Retrieval Conference (ISMIR), Oct. 23-27, Suzhou, China. Conference: ISMIR 2017
CHOI K, FAZEKAS G, SANDLER M, Kyunghyun C (2017). Transfer learning for music classification and regression tasks. Conference: The 18th International Society of Music Information Retrieval (ISMIR) Conference
https://qmro.qmul.ac.uk/xmlui/handle/123456789/35164
Bechhofer S, Page K, Weigl D, Fazekas G, Wilmering T (2017). Linked Data Publication of Live Music Archives and Analyses. The Semantic Web, proc. of the 16th International Semantic Web Conference (ISWC), Oct. 21-25, Vienna, Austria. Conference: International Semantic Web Conference (ISWC) (Vienna, Austria) from: 21/10/2017 to: 25/10/2017, vol. 10588,
10.1007/978-3-319-68204-4_3
https://qmro.qmul.ac.uk/xmlui/handle/123456789/31881
Fazekas G, Barthet M, Stockman T (2017). Welcome to Audio Mostly 2017!. ACM International Conference Proceeding Series. vol. Part F131930,
Marengo L, Fazekas TA (2017). I Wonder... Inquiry Techniques as a Method to Gain Insights into People's Encounters with Visual Art. Conference: International Conference on Human-Computer Interaction (HCI’17), 9-14 July, Vancouver, Canada vol. 714,
10.1007/978-3-319-58753-0_82
https://qmro.qmul.ac.uk/xmlui/handle/123456789/31882
Page K, Bechhofer S, Fazekas G, Weigl D, 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), June 19-23, Toronto, Canada. Conference: ACM/IEEE Joint Conference on Digital Libraries (JCDL)1-10.
10.1109/JCDL.2017.7991563
https://qmro.qmul.ac.uk/xmlui/handle/123456789/31883
Choi K, Fazekas G, Cho K, Sandler M (2017). A Tutorial on Deep Learning for Music Information Retrieval. Journal Paper - arXiv preprint.
Sheng D, Fazekas G (2017). Automatic Control Of The Dynamic Range Compressor Using A Regression Model And A Reference Sound. Proc. of the 20th International Conference on Digital Audio Effects (DAFx-17), September 5–9, Edinburgh, UK.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/19352
Wilmering T, Thalmann F, Fazekas G, Sandler M (2017). Bridging Fan Communities and Facilitating Access to Music Archives through Semantic Audio Applications. Proc. 143 Convention of the Audio Engineering Society, (e-Brief) Oct. 18-12, New York, USA.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/62283
Pauwels J, O hanlon K, Fazekas G, Sandler M (2017). Confidence Measures and Their Applications in Music Labelling Systems Based on Hidden Markov Models. Proc. 18th International Society for Music Information Retrieval Conference (ISMIR), Oct. 23-27, Suzhou, China. 279-279.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/30483
Liang B, Fazekas G, Sandler M (2017). Detection of Piano Pedaling Techniques on the Sustain Pedal. Proc. 143 Convention of the Audio Engineering Society, Oct. 18-12, New York, USA.
Liang B, Fazekas G, Sandler M (2017). Discovering Feature Relevance in Pedalling Analyses of Piano Music. Proc. Digital Music Research Network Workshop (DMRN+12), Dec. 19, London, UK.
10.26494/DMRN.2017.30583
Sheng D, Fazekas G (2017). Feature design for intelligent control of the dynamic range compressor using audio decomposition. Proc. Digital Music Research Network Workshop (DMRN+12), Dec. 19, London, UK.
10.26494/DMRN.2017.30583
https://qmro.qmul.ac.uk/xmlui/handle/123456789/30583
Liang B, Fazekas G, McPherson A, Sandler M (2017). Piano Pedaller: A Measurement System for Classification and Visualisation of Piano Pedalling Techniques. Proc. of the International Conference on New Interfaces for Musical Expression (NIME), May 15-18, Copenhagen, Denmark. 325-329.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/24503
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. Association of Computing Machinery (ACM)
Page KR, Bechhofer S, Fazekas G, Weigl DM, Wilmering T, IEEE (2017). Realising a Layered Digital Library Exploration and Analysis of the Live Music Archive through Linked Data. 2017 ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES (JCDL 2017). 89-98.
Liang B, Fazekas G, Sandler M (2017). Recognition of Piano Pedalling Techniques Using Gesture Data. Proceeding Proc. of the ACM 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences, Aug. 23-26, London, United Kingdom.
10.1145/3123514.3123535
Choi K, Fazekas G, Sandler M, Cho K (2017). Convolutional Recurrent Neural Networks for Music Classification. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 5-9, New Orleans, USA. Conference: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (New Orleans, USA) 2392-2396.
10.1109/ICASSP.2017.7952585
https://qmro.qmul.ac.uk/xmlui/handle/123456789/30083
LIANG B, fazekas G, mcpherson A, sandler M (2016). Classification of Piano Pedaling Techniques Using Gesture Data from a Non-Intrusive Measurement System. DMRN+11: Digital Music Research Network Workshop Proceedings 2016. Conference: DMRN+11: Digital Music Research Network One-day Workshop 2016 (Centre for Digital Music, Queen Mary University of London) from: 20/12/2016 to: 20/12/2016,
https://qmro.qmul.ac.uk/xmlui/handle/123456789/19349
Allik A M, Fazekas G SM (2016). Musicweb: Music Discovery with Open Linked Semantic Metadata [Nominee, Best Demo Award]. vol. 1690,
CHOI K, sandler M, fazekas G (2016). Text-based LSTM networks for Automatic Music Composition. Conference: Conference on Computer Simulation of Musical Creativity (Huddersfield, UK) from: 17/06/2016 to: 19/06/2016,
https://qmro.qmul.ac.uk/xmlui/handle/123456789/12552
Buccoli M, Zanoni M, Fazekas G, Sarti A, Sandler M (2016). A Higher-Dimensional Expansion of Affective Norms for English Terms for Music Tagging. Proc. of the 17th International Society for Music Information Retrieval (ISMIR-16) conference, August 7-11., New York, USA. 316-322.
Allik A, Fazekas G, Sandler M (2016). An Ontology for Audio Features. Proc. of the 17th International Society for Music Information Retrieval (ISMIR-16) conference, August 7-11., New York, USA. 73-79.
Font F, Brookes T, Fazekas G, Guerber M, La Burthe A, Plans D, Plumbley M, Wang W et al. (2016). Audio Commons: Bringing Creative Commons Audio Content to the Creative Industries. Proc. AES 61st International Conference on Audio for Games, Feb 10–12, London, UK.
Choi K, Fazekas G, Sandler M (2016). Automatic Tagging Using Deep Convolutional Neural Networks. Proc. of the 17th International Society for Music Information Retrieval (ISMIR-16) conference, August 7-11., New York, USA. 805-811.
Thalmann F, Fazekas G, Wiggins GA, Sandler M (2016). Creating, Visualizing, and Analyzing Dynamic Music Objects in the Browser with the Dymo Designer. Proc. ACM Audio Mostly Conference, Oct. 4-6, Norrköping, Sweden. 39-46.
10.1145/2986416.2986445
https://qmro.qmul.ac.uk/xmlui/handle/123456789/16155
Barthet M, Fazekas G, Thalmann F, Sandler M, Wiggins GA (2016). Crossroads: Interactive Music Systems Transforming Performance, Production and Listening. Proc. ACM Conference on Human Factors in Computing Systems (CHI), May 7–12, San Jose, CA, USA..
https://qmro.qmul.ac.uk/xmlui/handle/123456789/12502
Barthet M, Fazekas G, Allik A, Thalmann F, 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, Article 9, 673-682.
10.17743/jaes.2016.0042
https://qmro.qmul.ac.uk/xmlui/handle/123456789/22527
Saari P, Fazekas G, Eerola T, Barthet M, Lartillot, O S, M(2016). Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation. IEEE Transactions on Affective Computing (TAC) vol. 7, Article 2, 122-135.
10.1109/TAFFC.2015.2462841
https://qmro.qmul.ac.uk/xmlui/handle/123456789/31904
Carrillo A, Thalmann F, Fazekas G, Sandler M (2016). Geolocation Adaptive Music Player. Proc. Web Audio Conference WAC-2016, April 4–6, Atlanta, USA.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/11742
Chiliguano P, Fazekas G (2016). Hybrid music recommender using content-based and social information. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 20-25 March, Snahghai, China.
10.1109/ICASSP.2016.7472151
Mora-McGinity M, Allik A, Fazekas G, Sandler M (2016). MusicWeb: Music discovery with open linked semantic metadata. Communications in Computer and Information Science. vol. 672, 291-296.
10.1007/978-3-319-49157-8_25
Juric D, Fazekas G (2016). Proc. Metadata and Semantics Research (MTSR), Nov. 22-25, Göttingen, Germany. vol. 672,
10.1007/978-3-319-49157-8_5
https://qmro.qmul.ac.uk/xmlui/handle/123456789/40943
Stables R, De Man B, Enderby S, Reiss JD, Fazekas G, Wilmering T (2016). Semantic description of timbral transformations in music production. Proc. ACM Multimedia, Oct. 15-19, Amsterdam, Netherlands. 337-341.
10.1145/2964284.2967238
https://qmro.qmul.ac.uk/xmlui/handle/123456789/22150
Thalmann F, Carrillo G, Wiggins GA, Sandler M (2016). The Mobile Audio Ontology: Experiencing Dynamic Music Objects on Mobile Devices. IEEE International Conference on Semantic Computing (ICSC), Feb. 4-6, Laguna Hills, CA, USA. 47-54.
10.1109/ICSC.2016.61
https://qmro.qmul.ac.uk/xmlui/handle/123456789/11740
Thalmann F, Perez Carillo A, Fazekas G, Sandler M (2016). The Semantic Music Player: A Smart Mobile Player Based on Ontological Structures and Analytical Feature Metadata. Proc. Web Audio Conference WAC-2016, April 4–6, Atlanta, USA.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/11741
Wilmering T, Fazekas G, Sandler M (2016). The Semantic Web, proc. of the 15th International Semantic Web Conference (ISWC), Oct. 17–21, Kobe, Japan. vol. 9982,
10.1007/978-3-319-46547-0_24
https://qmro.qmul.ac.uk/xmlui/handle/123456789/31884
Choi K, Fazekas G, Sandler M (2016). Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. Proc. 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016), Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems (SOAP) June 13–17, Halifax, Canada.
10.1145/1235
https://qmro.qmul.ac.uk/xmlui/handle/123456789/16082
Allik A, Fazekas G, Barthet M, Sandler M (2016). myMoodplay: An interactive mood-based music discovery app. Proc. of the 2nd Web Audio Conference (WAC), April 4–6, Atlanta, Georgia, USA..
CHOI K, Fazekas G, sandler MARK, Kim J (2015). Auralisation of Deep Convolutional Neural Networks: Listening to Learned Features. Conference: International Society for Music Information Retrieval Conference (Malaga, Spain) from: 30/10/2015 to: 26/10/2015,
Wilmering T, Fazekas G, Allik A, Sandler MB (2015). Audio effects data on the semantic web. 139th Audio Engineering Society International Convention, AES 2015.
Wilmering T, Fazekas G, Dixon S, Bechhofer S, Page K (2015). Automating Annotation of Media with Linked Data Workflows. Third International Workshop on Linked Media (LiME 2015) co-located with the WWW’15 conference, 18-22 May, Florence, Italy..
10.1145/2740908.2742913
Mauch M, Cannam C, Bittner R, Fazekas G, Salamon J, Dai J, Bello J, Dixon S (2015). Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency. Proceedings of the First International Conference on Technologies for Music Notation and Representation.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/7247
Fazekas G (2015). Convergence of technologies to connect audio with meaning: from Semantic Web ontologies to semantic audio production.
Barthet M, Fazekas G, Allik A, Sandler M (2015). Moodplay: an interactive mood-based musical experience. Proc. of the ACM Audio Mostly International Conference, 7-9 Oct. Thessaloniki, Greece..
10.1145/2814895.2814922
https://qmro.qmul.ac.uk/xmlui/handle/123456789/12173
Thalmann F, Carrillo A, Fazekas G, Wiggins GA, Sandler M (2015). Navigating Ontological Structures based on Feature Metadata Using the Semantic Music Player. Proc. of the 16th International Society for Music Information Retrieval (ISMIR-15) conference, Late-breaking session, Oct. 26-30, Malaga, Spain.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/16154
Tian M, Fazekas G, Black DAA, Sandler M, IEEE (2015). ON THE USE OF THE TEMPOGRAM TO DESCRIBE AUDIO CONTENT AND ITS APPLICATION TO MUSIC STRUCTURAL SEGMENTATION. 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP). 419-423.
Tian M, Fazekas G, Black DAA, Sandler M (2015). On the Use of the Tempogram to Describe Audio Content and its Application to Music Structural Segmentation. Proc. of the 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), 19-24 April, Brisbane, Australia.
10.1109/ICASSP.2015.7178003
Liang B, Fazekas G, Sandler M (2015). The Organ Web App. Proc. of the 16th International Society for Music Information Retrieval (ISMIR-15) conference, Late-breaking session, Oct. 26-30, Malaga, Spain.
Wilmering T, Fazekas G, Dixon S, Page K, Bechhofer S (2015). Towards High Level Feature Extraction from Large Live Music Recording Archives. International Conference on Machine Learning (ICML), Machine Learning for Music Discovery Workshop, 6-11 July, Lille, France.
Zanoni M, Setragno F, Antonacci F, Sarti A, Fazekas G, Sandler M (2015). Training-based Semantic Descriptors modeling for violin quality sound characterization. Proceedings of the 138th Convention of the Audio Engineering Society (AES), 7-10 May, Warsaw, Poland..
Choi K, Fazekas G, Sandler M (2015). Understanding Music Playlists. International Conference on Machine Learning (ICML), Machine Learning for Music Discovery Workshop, 6-11 July, Lille, France.
Fazekas G, BARTHET M, Sandler MB(2014). Novel Methods in Facilitating Audience and Performer Interaction Using the Mood Conductor Framework. Lecture Notes in Computer Science vol. 8905, (Sound, Music, and Motion) 122-147.
10.1007/978-3-319-12976-1_8
https://qmro.qmul.ac.uk/xmlui/handle/123456789/36478
Kolozali S, Fazekas G, Barthet M, Sandler M (2014). A framework for automatic ontology generation based on semantic audio analysis. Proc. of the AES 53rd International Conference on Semantic Audio, Jan, 26-29., London, UK.
Fazekas G, Kudumakis P (2014). A second screen music discovery and recommendation service based on social and cultural factors.
Bechhofer S, Dixon S, Fazekas G, Wilmering T, Page K (2014). Computational Analysis of the Live Music Archive. Presented at the 15th International Society of Music Information Retrieval (ISMIR) Conference late-breaking workshop, Oct 27-31, 2014, Taipei, Taiwan.
Mora-McGinity M, Fazekas G, Ogilive G (2014). Creating Semantic Links between Research Articles and Music Artists. Presented at the Digital Music Research Network Workshop, Dec., London, UK at the 15th International Society of Music Information Retrieval (ISMIR) Conference late-breaking workshop, Oct 27-31, 2014, Taipei, Taiwan.
Tian M, Fazekas G, Black DAA, Sandler M (2014). Design and Evaluation of Onset Detectors Using Different Fusion Policies. Presented at the 15th International Society of Music Information Retrieval (ISMIR) Conference, Oct 27-31, 2014, Taipei, Taiwan.
Mauch M, Cannam C, Fazekas G (2014). Efficient computer-aided pitch track and note estimation for scientific applications. Society for Education, Music and Psychology Research (SEMPRE’14) conference, April 3-4, London, UK. 143-147.
Lou T, Barthet M, Fazekas G, Sandler M (2014). Evaluation and Improvement of the Mood Conductor Interactive System. Proc. of the AES 53rd International Conference on Semantic Audio, Jan, 26-29., London, UK.
Font F, Oramas S, Fazekas G, Serra X (2014). Extending Tagging Ontologies with Domain Specific Knowledge. Presented at the 13th International Semantic Web Conference (ISWC), 19-23 October, Trento, Italy.
Fazekas G, Barthet M, Sandler M(2014). Novel Methods in Facilitating Audience and Performer Interaction using the Mood Conductor Framework. Editors: Aramaki, M, Kronland-Martinet, R, Ystad, S, Edition. Sound Music and Motion, vol. 8905, Springer-Verlag, Heidelberg, Germany.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/31906
Stables R, Enderby S, De Man B, Fazekas G, Reiss JD (2014). SAFE: A System for Extraction and Retrieval of Semantic Audio Descriptors. Presented at the Digital Music Research Network Workshop, Dec., London, UK at the 15th International Society of Music Information Retrieval (ISMIR) Conference late-breaking workshop, Oct 27-31, 2014, Taipei, Taiwan.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/12589
Baume C, Fazekas G, Barthet M, Martson D, Sandler M (2014). Selection of audio features for music emotion recognition using production music. Proc. of the AES 53rd International Conference on Semantic Audio, Jan, 26-29., London, UK.
Mora-McGinity M, Ogilvie G, Fazekas G (2014). Semantically Linking Humanities Research Articles and Music Artists. Workshop on Semantic Technologies for Research in the Humanities and Social Sciences (STRiX), November 24-25, Gothenburg, Sweden.
De Man B, Mora-Mcginity M, Fazekas G, Reiss JD (2014). The Open Multitrack Testbed. 137th Convention of the Audio Engineering Society, 7 Oct., Los Angeles, USA.
Stables R, Enderby S, De Man B, Fazekas G, Reiss JD (2014). The SAFE project: Musical semantics in the DAW. Presented at the Digital Music Research Network Workshop, 16. Dec., London, UK.
Kolozali S, Barthet M, Fazekas G, 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.
10.1109/TASL.2013.2263801
Allik A, Fazekas G, Dixon S, Sandler M (2013). A Shared Vocabulary for Audio Features. SEMANTIC WEB: ESWC 2013 SATELLITE EVENTS. vol. 7955, 285-286.
10.1007/978-3-642-41242-4_44
Kosta K, Song Y, Fazekas G, Sandler M (2013). A Study of Cultural Dependence of Perceived Mood in Greek Music. Proc. of the 14th International Society for Music Information Retrieval Conference, ISMIR’13, November 4-8, Curitiba, Brazil. Editors: Britto, ASJ, Gouyon, F, Dixon, S, 317-322.
Wilmering T, Fazekas G, Sandler M (2013). Audio Effect Classification Based on Auditory Perceptual Attributes. Proc. of the 135th Convention of the Audio Engineering Society, New York, NY, USA..
Tian M, Black DAA, Fazekas G, Sandler M (2013). Content-based Emotion Categorisation Analysis of Chinese Cultural Revolution Songs. Proc. of the 3rd International Workshop on Folk Music Analysis (FMA’13), 6-7 June, Amsterdam, Netherlands. Editors: Kranenburg, PV, Anagnostopoulou, C, Volk, A,
Fazekas G, Sandler MB, IEEE (2013). DESCRIBING AUDIO PRODUCTION WORKFLOWS ON THE SEMANTIC WEB. 2013 14TH INTERNATIONAL WORKSHOP ON IMAGE ANALYSIS FOR MULTIMEDIA INTERACTIVE SERVICES (WIAMIS).
10.1109/WIAMIS.2013.6616135
Barthet M, Marston D, Baume C, Fazekas G, Sandler M (2013). Design and Evaluation of Semantic Mood Models for Music Recommendation Using Editorial Tags. Proc. of the 14th International Society for Music Information Retrieval Conference, ISMIR’13, November 4-8, Curitiba, Brazil. Editors: Britto, ASJ, Gouyon, F, Dixon, S, 421-426.
Barthet M, Marston D, Baume C, Fazekas G, Sandler M (2013). Design and evaluation of semantic mood models for music recommendation. Proceedings of the 14th International Society for Music Information Retrieval Conference, ISMIR 2013. 421-426.
Lou T, Barthet M, Fazekas G, Sandler M (2013). Evaluation of the Mood Conductor Interactive System Based on Audience and Performers’ Perspectives. Proc. of the 10th International Symposium on Computer Music Multidisciplinary Research (CMMR’13), 15-18 October, Marseille, France..
Allik A, Fazekas G, Dixon S, Sandler M (2013). Facilitating Music Information Research with Shared Open Vocabularies. SEMANTIC WEB: ESWC 2013 SATELLITE EVENTS. vol. 7955, 178-183.
10.1007/978-3-642-41242-4_20
Fazekas G, Barthet M, Sandler MB, IEEE (2013). Mood Conductor: Emotion-Driven Interactive Music Performance. 2013 HUMAINE ASSOCIATION CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII). 726-726.
10.1109/ACII.2013.165
Barthet M, Fazekas G, Sandler M(2013). Music Emotion Recognition: From Content- to Context-Based Models. Editors: Aramaki, M, BARTHET, MHE, Kronland-Martinet, R, Ystad, S et al., Edition. From Sounds to Music and Emotions, vol. 7900, Springer-Verlag, Heidelberg, Germany.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/31911
Wilmering T, Fazekas G, Sandler M (2013). Semantic Metadata for Music Production Projects. Proc. of the 12th International Semantic Web Conference (ISWC), first International Workshop on Semantic Music and Media (SMAM2013). 21-25.
Saari P, Barthet M, Fazekas G, Eerola T, Sandler M (2013). Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags. Proc. of the IEEE International Conference on Multimedia & Expo (ICME2013) International Workshop on Affective Analysis in Multimedia (AAM), 15-19 July 2013, San Jose, CA, USA.
10.1109/ICMEW.2013.6618436
Wilmering T, Fazekas G, Sandler M (2013). The Audio Effects Ontology. Proc. of the 14th International Society for Music Information Retrieval Conference, ISMIR’13, November 4-8, Curitiba, Brazil. Editors: Britto, ASJ, Gouyon, F, Dixon, S,
Fazekas G, Barthet M, Sandler M (2013). The BBC Desktop Jukebox music recommendation system: A large-scale trial with professional users. Proc. of the IEEE International Conference on Multimedia and Expo (ICME), 15–19, July, San Jose, CA, USA..
10.1109/ICMEW.2013.6618235
Fazekas G, Barthet M, Sandler M (2013). The Mood Conductor System: Audience and Performer Interaction using Mobile Technology and Emotion Cues. Proc. of the 10th International Symposium on Computer Music Multidisciplinary Research (CMMR’13), 15-18 October, Marseille, France..
Saari P, Eerola T, Fazekas G, Barthet M, Lartillot O, Sandler M (2013). The Role of Audio and Tags in Music Mood Prediction: a Study Using Semantic Layer Projection. Proc. of the 14th International Society for Music Information Retrieval Conference, ISMIR’13, November 4-8, Curitiba, Brazil. Editors: Britto, ASJ, Gouyon, F, Dixon, S,
Tian M, Fazekas G, Black DAA, 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, Portugal71-81.
Saari P, Eerola T, Fazekas G, Sandler M (2013). Using Semantic Layer Projection for Enhancing Music Mood Prediction With Audio Features. Proc. of the Sound and Music Computing Conference (SMC’13), Stockholm, Sweden.
Song Y, Dixon S, Pearce M, Fazekas G (2013). Using Tags to Select Stimuli in the Study of Music and Emotion. Proc. 3rd International Conference on Music and Emotion (ICME), June 11-15, Jyväskylä, Finland. Editors: Luck, G, Brabant, O,
Wilmering T, Fazekas G, Sandler M (2012). High level semantic metadata for the control of multitrack adaptive audio effects. Proc. of the 133rd Convention of the Audio Engineering Society, San Francisco, CA, USA.
Fazekas G, Sandler M (2012). Knowledge Representation Issues in Audio-Related Metadata Model Design. Proc. of the 133rd Convention of the Audio Engineering Society, San Francisco, CA, USA.
Terrell MJ, Fazekas G, Simpson AJR, Smith JBL, Dixon S (2012). Listening level changes music similarity. Proceedings of the International Society for Music Information Retrieval Conference. 487-92.
Barthet M, Fazekas G, Sandler M (2012). Multidisciplinary Perspectives on Music Emotion Recognition: Implications for Content and Context-Based Models. Proc. of the 9th International Symposium on Computer Music Modelling and Retrieval (CMMR’12) 19-22 June, London, UK.
Fazekas G, Wilmering T (2012). Semantic Web and Semantic Audio Technologies. Tutorial presented at the 132nd Convention of the Audio Engineering Society, Budapest, Hungary Abstract: java.sql.Clob org.hibernate.engine.jdbc.WrappedClob java.io.Serializable , Notes: date-added: 2014-08-02 10:04:50 +0000 date-modified: 2014-08-06 16:52:23 +0000 keywords: Semantic Audio, Semantic Web, tutorial bdsk-url-1: http://isophonics.net/content/aes132-tutorial,
Publisher URL
Fazekas G, Ewert S, Allik A, Dixon S, Sandler M (2012). Shared Open Vocabularies and Semantic Media. Proc. of the 13th International Society for Music Information Retrieval Conference (ISMIR’12), late-breaking workshop, 8-12 October, Porto, Portugal.
Barthet M, Fazekas G, Dixon S, Sandler M (2012). Social Media Retrieval for Music Education. In Digital Futures 2012: The Third Annual Digital Economy All Hands Conference, 23-25 October, Aberdeedn, UK.
Rumsey F, Schulein B, Herre J, Kelly M, Ackerman D, Lacinak C, Kelly M, Martz S 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.
Fazekas G, Sandler MB (2011). The studio ontology framework. Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011. 471-476.
Wilmering T, Fazekas G, Sandler MB (2011). Towards ontological representations of digital audio effects. Proceedings of the 14th International Conference on Digital Audio Effects, DAFx 2011. 119-122.
Fazekas G, Wilmering T, Sandler MB (2011). A knowledge representation framework for context-dependent audio processing. Proc. of the AES 42nd International Conference on Semantic Audio, 22-24 July, Ilmenau, Germany. 22-24.
Kolozali S, Fazekas G, Barthet M, Sandler M (2011). Knowledge representation issues in musical instrument ontology design. Proc. of the 12th International Society for Music Information Retrieval (ISMIR’11) conference, 24-28 Oct., Miami, Florida, USA.
Barthet M, Anglade A, Fazekas G, Kolozali S, Macrae R (2011). Music recommendation for music learning: Hotttabs a multimedia guitar tutor. in Proc. of the 2nd Workshop on Music Recommendation and Discovery (WOMRAD’11) in conjunction with the ACM Recommender Systems conference (RecSys’11).
Tidhar D, Fazekas G, Mauch M, 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, Article 4, 327-336.
10.1080/09298215.2010.520720
Fazekas G, Sandler M (2011). The Studio Ontology Framework. Proc. of the 12th International Society for Music Information Retrieval (ISMIR’11) conference, 24-28 Oct., Miami, Florida, USA. 24-28.
Wilmering T, Fazekas G, Sandler MB (2011). Towards ontological representations of digital audio effects. Proc. of the 14th International Conference on Digital Audio Effects (DAFx-11). 19-23.
Kolozali S, Barthet M, Fazekas G, Sandler M (2011). Towards the automatic generation of a Semantic Web ontology for musical instruments. vol. 6725,
10.1007/978-3-642-23017-2_13
Fazekas G, Raimond Y, Jacobson K, Sandler M(2010). An Overview of Semantic Web Activities in the OMRAS2 Project. J NEW MUSIC RES vol. 39, (4) 295-311.
10.1080/09298215.2010.536555
Fazekas G, Tidhar D (2010). TempEst - Temperament estimation Web service. presented at the Digital Music Research Network Workshop.
Tidhar D, Fazekas G, Mauch M, Dixon S (2010). Temperament Estimation as an MIR task. Presented at the 11th International Society for Music Information Retrieval Conference (ISMIR’10), Late-breaking session.
Wilmering T, Fazekas G, Sandler M (2010). The effects of reverberation on onset detection tasks. in Proceedings of the 128th Convention of the Audio Engineering Society, London.
Raimond Y, Gängler T, Giasson F, Jacobson K, Fazekas G, Reinhardt S, Passant A (2010). The music ontology specification. Published online Abstract: java.sql.Clob org.hibernate.engine.jdbc.WrappedClob java.io.Serializable , Notes: date-added: 2014-08-02 10:04:50 +0000 date-modified: 2014-08-07 08:58:13 +0000 keywords: ontology, Music Ontology, Semantic Web local-url: http://musicontology.com bdsk-url-1: http://musicontology.com,
Publisher URL
Kolozali S, Barthet M, Fazekas G, Tidhar D, Sandler M (2010). The musical instrument ontology. presented at the Digital Music Research Network Workshop, 21 Dec., London, UK..
Kolozali S, Barthet M, Fazekas G, Sandler M (2010). Towards the automatic generation of a Semantic Web ontology for musical instruments. Proc. of the 5th International Conference on Semantic and Digital Media Technologies (SAMT-10) Saarbrucken, Germany.
Cannam C, Fazekas G, Noland K (2009). A Demonstration of Sonic Visualiser. presented at the Special SIGMUS Symposium, 2 Nov., Tokyo, Japan.
Fazekas G, Cannam C, Sandler M (2009). A Simple Guide to Automated Music Analysis on the Semantic Web (white paper). Centre for Digital Music
Fazekas G, Sandler M (2009). Novel methods in information management for advanced audio workflows. Proc. of the 12th International Conference on Digital Audio Effects (DAFx-09), Como, Italy.
Fazekas G, Sandler M (2009). Ontology based information management in music production. Proc. 126th Convention of the Audio Engineering Society, Munich, Germany.
Tidhar D, Fazekas G, Kolozali S, Sandler M (2009). Publishing Music Similarity Features on the Semantic Web. Proc. of the 10th International Society for Music Information Retrieval (ISMIR-09) conference, Oct., Kobe, Japan.
Fazekas G, Cannam C, Sandler M (2009). Reusable metadata and software components for automatic audio analysis. Proc. of the 9th IEEE/ACM Joint Conference on Digital Libraries (JCDL’09) Workshop on Integrating Digital Library Content with Computational Tools and Services, 14-19 June, Austin, Texas, USA.
Fazekas G, Sandler M (2009). Uncovering the details of music production using ontologies. Presented at the Unlocking Audio 2 Conference, 16-17 March, London, UK.
Fazekas G, Raimond Y, Sandler M (2008). A framework for producing rich musical metadata in creative music production. Proc. of the 125th Convention of the Audio Engineering Society, San Francisco, USA.
Fazekas G, Sandler M (2008). Ontology based information management in music production. Presented at the Digital Music Research Network Workshop, Dec., London, UK.
Fazekas G, Sandler M (2007). Intelligent editing of studio recordings with the help of automatic music structure extraction. Proc. of the 122nd Convention of the Audio Engineering Society, Vienna, Austria.
Fazekas G, Sandler M (2007). Structural decomposition of recorded vocal performances and its application to intelligent audio editing. Proc. of the 123rd Convention of the Audio Engineering Society, New York, USA.
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