Risultati finali Other (9) Draft ontology specification A draft first version of the Audio Commons Ontology implemented in OWL. This will facilitate the development of tools, APIs and service interoperability. Service integration technologies Software systems for enabling access to distributed repositories and services within ACE. This includes client side and server side software modules that can be integrated into existing or new products and services. Release of tool for the automatic semantic description of music pieces Final release of the software tool for automatically annotating music pieces using semantic concepts from the Audio Commons Ontology. This version of the tool contains the improvements included after the second evaluation cycle. Release of tool for the manual annotation of musical content Release of the tool for manually annotating music samples and music pieces following the guidelines of the Audio Commons Ontology Final ontology specification The second version of the AC Ontology formalised in OWL. This version incorporates feedback from other technology development tasks in WP4 and WP5. Release of tool for the manual annotation of non-musical content Release of the tool for manually annotating non-musical content following to the guidelines of the Audio Commons Ontology. Release of timbral characterisation tool for semantically annotating non-musical content Final release of the software tool for automatically annotating non-musical audio content using semantic concepts from the Audio Commons Ontology. This version of the tool contains the improvements included after the second evaluation cycle. API specification Specification of the end-user Web APIs and internal audio analysis and processing APIs. Release of tool for the automatic semantic description of music samples Final release of the software tool for automatically annotating music samples using semantic concepts from the Audio Commons Ontology. This version of the tool contains the improvements included after the second evaluation cycle. Documents, reports (27) Second draft data management plan Second draft of the data management plan (DMP) following EC guidelines, describing the data to be generated during the project and how will this be made public and accessible. Evaluation report on the first prototype tool for the automatic semantic description of music samples Report on analysis results of the accuracy and effectiveness of the first prototype for the automatic annotation of music samples. Identification of key areas for improvement/extension. Report on Rights Management requirements Release of a document outlining rights management requirements for the ACE and the Audio Commons Ontology in particular. Report on novel methods for measuring creativity support This report will detail our methods for the assessment of creativity support in ACE and summarise our findings on the performance of our tools. Report on dissemination and publication of results Publication of results will be produced including the publications, conferences and trade shows attendances. This deliverable will summarise all dissemination activities carried out during the project, as well as AudioCommons contribution to other initiatives. This deliverable is transversal to several tasks of this work package. Evaluation report on the first prototype of the timbral characterisation tool Report on analysis results of the accuracy and effectiveness of the first prototype for the automatic annotation of non-musical audio content. Identification of key areas for improvement/extension. Draft data management plan First draft of the data management plan (DMP) following EC guidelines, describing the data to be generated during the project and how will this be made public and accessible. Project handbook and quality plan Project handbook and quality plan including all procedures, communication channels and operational framework. Evaluation report on the first prototype tool for the automatic semantic description of music pieces Report on analysis results of the accuracy and effectiveness of the first prototype for the automatic annotation of music piece. Identification of key areas for improvement/extension. Evaluation report on the tool for manual annotation of musical content Evaluation report on the tool for manually annotating music samples and music pieces following the guidelines of the Audio Commons Ontology. Evaluation report on the second prototype tool for the automatic semantic description of music pieces Report on analysis results of the accuracy and effectiveness of the second prototype for the automatic annotation of music pieces. Identification of key areas for timbral analysis improvement/extension. Evaluation report on the second prototype tool for the automatic semantic description of music samples Report on analysis results of the accuracy and effectiveness of the second prototype for the automatic annotation of music samples. Identification of key areas for improvement/extension. Evaluation report on the tool for manual annotation of non-musical content Evaluation report on the tool for manually annotating non-musical content following the guidelines of the Audio Commons Ontology. Report on the evaluation of the ACE from a business model perspective Evaluation report of the implementation of the Audio Commons Ecosystem carried out during the project, from a business model perspective. Ontology evaluation report The final version of the ontology will be evaluated at the end of the project with respect to deployment and success of adaptation within ACE as well as with respect to its logical properties. A report will inform future efforts to adopt and maintain the ontology. Report on business models emerging from the ACE Report on potential business models that can emerge from the Audio Commons Ecosystem. Guidelines for including new actors in the ACE Document describing the guidelines for interacting with the Audio Commons Ecosystem, from the contributor and content provider level to the consumer level and to the tool creator level. Requirements report and use cases A report outlining requirements in creative workflows of the target user communities to facilitate the use of audio commons content. A set of use cases against which our prototypes will be developed and evaluated. The report will also inform the development of the Audio Commons Ontology and API. Dissemination plan Dissemination plan covering the dissemination of AudioCommons RTD outcomes. This deliverable is transversal to several tasks of this work package. Hierarchical ontology of timbral semantic descriptors Hierarchical ontology of timbral semantic descriptors with categories of timbral attributes most useful to automatic characterisation of non-musical content in sound library elements. Data management plan Data management plan (DMP) following EC guidelines, describing the data to be generated during the project and how will this be made public and accessible. Report on the analysis and compilation of state-of-the-art methods for the automatic annotation of music pieces and music samples This deliverable will include a document listing existing methods for several audio characterisation tasks (related to music pieces and music samples) along with pointers into already existing implementations or specifically developed implementations that can be used in AudioCommons. Report on usage of Creative Commons licenses Release of a document describing use cases of the Creative Commons licenses in the Audio Commons Ecosystem and identifying potential shortcomings (with proposals for improvements if required). Guidelines on how to present licensing information to users. Service integration guidelines Final service integration guidelines that enable third party adaptation of ACE technologies, including the improvements that will have been introduced in the technologies. Report on the evaluation of the ACE from a holistic and technological perspective Report on the evaluation of our system assessing how our tools support creative work in specific domains and how the system facilitates the reuse of audio content as a whole. Evaluation report on the second prototype of the timbral characterisation tool Report on analysis results of the accuracy and effectiveness of the second prototype for the automatic annotation of non-musical audio content. Identification of key areas for improvement/extension. Service integration draft guidelines Draft guidelines for integrating ACE technologies. This will involve tutorial documents to help the adaptation of ACE technologies by content providers and users. Demonstrators, pilots, prototypes (6) First prototype of timbral characterisation tool for semantically annotating non-musical content Release of the first prototype of the software tool for the automatic annotation of non-musical audio content. First prototype tool for the automatic semantic description of music pieces Release of the first prototype of the software tool for the automatic annotation of music pieces. Second prototype tool for the automatic semantic description of music pieces Release of the second prototype of the software tool for the automatic annotation of music pieces. This version of the tools contains improvements included after the first evaluation cycle. First prototype tool for the automatic semantic description of music samples Release of the first prototype of the software tool for the automatic annotation of music samples. Second prototype of timbral characterisation tool for semantically annotating non-musical content Release of the second prototype of the software tool for the automatic annotation of non-musical audio content. This version of the tools contains improvements included after the first evaluation cycle. Second prototype tool for the automatic semantic description of music samples Release of the second prototype of the software tool for the automatic annotation of music samples. This version of the tools contains improvements included after the first evaluation cycle. Websites, patent fillings, videos etc. (2) Visual identity of ACE Visual identity for the different parts and tools of the Audio Common ecosystem. Project website A multimedia website with public information on the project and its evolution, together with a private space for partners only as a discussion space and document repository. Pubblicazioni Conference proceedings (56) Mood Visualiser: Augmented Music Visualisation Gauging Audience Arousal Autori: Subramaniam, A., Barthet, M. Pubblicato in: Proc. of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences, 2017 Editore: ACM Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks Autori: Fonseca, Eduardo; Gong, Rong; Bogdanov, Dmitry; Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Serra, Xavier Pubblicato in: Proc. of the Detection and Classification of Acoustic Scenes and Events Workshop (DCASE), Numero 12, 2017 Editore: Proc. of the Detection and Classification of Acoustic Scenes and Events Workshop (DCASE) The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources Autori: Bogdanov, Dmitry; Porter, Alastair; Urbano Merino, J.; Schreiber, Hendrik; Gravier, Guillaume; Bischke, Benjamin; Demarty, Claire-Hélène; Zaharieva, Maia; Riegler, Michael; Dellandrea, Emmanuel; Bogdanov, Dmitry; Sutcliffe, Richard; Jones, Gareth J.F.; Larson, Martha Pubblicato in: MediaEval 2017. Dublin, Ireland, Numero 10, 2017 Editore: CEUR-WS.org Quantifying music tends and facts using editorial metadata from the Discogs database Autori: Bogdanov, Dmitry; Serra, Xavier Pubblicato in: Proc. of the International Society for Music Information Retrieval Conference (ISMIR), Numero 9, 2017 Editore: The International Society of Music Information Retrieval Freesound datasets: a platform for the creation of open audio datasets Autori: Fonseca, Eduardo; Pons Puig, Jordi; Favory, Xavier; Font Corbera, Frederic; Bogdanov, Dmitry; Ferraro, Andrés; Oramas, Sergio; Porter, Alastair; Serra, Xavier Pubblicato in: Proc. of the International Society for Music Information Retrieval Conference (ISMIR), Numero 8, 2017 Editore: The International Society of Music Information Retrieval DOI: 10.5281/zenodo.1417158 A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging Autori: Choi, Keunwoo; Fazekas, György; Cho, Kyunghyun; Sandler, Mark Pubblicato in: Proc. of the 26th European Signal Processing Conference (EUSIPCO), Numero 6, 2018 Editore: EURASIP General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline Autori: Fonseca, Eduardo; Plakal, Manoj; Font, Frederic; Ellis, Daniel P. W.; Favory, Xavier; Pons, Jordi; Serra, Xavier Pubblicato in: Proc. of the Detection and Classification of Acoustic Scenes and Events Workshop (DCASE), Numero 1, 2018 Editore: Tampere University of Technology A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification Autori: Eduardo Fonseca; Rong Gong; Xavier Serra Pubblicato in: Proc. of the Sound and Music Computing Conference, Numero 2, 2018 Editore: Cyprus University of Technology DOI: 10.5281/zenodo.1422583 Playsound.space - enhancing a live music performance tool with semantic recommendations Autori: Fabio Viola, Ariane Stolfi, Alessia Milo, Miguel Ceriani, Mathieu Barthet, György Fazekas Pubblicato in: Proceedings of the 1st International Workshop on Semantic Applications for Audio and Music - SAAM '18, 2018, Pagina/e 46-53, ISBN 9781-450364959 Editore: ACM Press DOI: 10.1145/3243907.3243908 IMMA-Emo: A Multimodal Interface for Visualising Score-and Audio-synchronised Emotion Annotations Autori: Herremans, D., Yang, S., Chuan, C. H., Barthet, M., & Chew, E. Pubblicato in: Proc. of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences, 2017 Editore: ACM Open Band: A Platform for Collective Sound Dialogues Autori: Stolfi, A., Barthet, M., Goródscy, F., de Carvalho Junior, A. D. Pubblicato in: Proc. of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences, 2017 Editore: ACM Detection of Piano Pedalling Techniques on the Sustain Pedal Autori: Liang, B., Fazekas, G., Sandler, M. Pubblicato in: Proc. of the 143rd Convention of the Audio Engineering Society, 2017 Editore: AES Recognition of Piano Pedalling Techniques Using Gesture Data Autori: Liang, B., Fazekas, G., Sandler, M. Pubblicato in: Proc. of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences, 2017 Editore: ACM Freesound Explorer: Make Music While Discovering Freesound! Autori: Font, F., Bandiera G. Pubblicato in: Proc. of the Web Audio Conference (WAC), 2017 Editore: Queen Mary University of London Multi Web Audio Sequencer: Collaborative Music Making Autori: Favory, X., Serra, X. Pubblicato in: Proc. of the Web Audio Conference (WAC), 2018 Editore: Technische Universität Berlin The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources Autori: Bogdanov, D., Porter A., Urbano J., Schreiber H. Pubblicato in: MediaEval Workshop, 2018 Editore: CEUR-WS.org MediaEval 2018 AcousticBrainz Genre Task: A baseline combining deep feature embeddings across datasets Autori: Oramas, S., Bogdanov D., & Porter A. Pubblicato in: MediaEval Workshop, 2018 Editore: CEUR-WS.org Facilitating the Manual Annotation of Sounds When Using Large Taxonomies Autori: Favory, X., Fonseca E., Font F., Serra X. Pubblicato in: Proc. of the International Workshop on Semantic Audio and the Internet of Things (ISAI), in IEEE FRUCT Conference, 2018 Editore: IEEE Using offline metrics and user behavior analysis to combine multiple systems for music recommendation Autori: Ferraro, A., Bogdanov D., Choi K., Serra X. Pubblicato in: Proc. of the Conference on Recommender Systems (RecSys), REVEAL Workshop, 2018 Editore: ACM Automatic playlist continuation using a hybrid recommender system combining features from text and audio Autori: Ferraro, A., Bogdanov D., Yoon J., Kim K. S., Serra X. Pubblicato in: Proc. of the Conference on Recommender Systems (RecSys), Workshop on the RecSys Challenge, 2018 Editore: ACM Predicting the Perceived Level of Reverberation using Features from Nonlinear Auditory Model Autori: Safavi, S., Wang, W., Plumbley, M., Choobbasti, A., and Fazekas, G. Pubblicato in: Proc. of the International Workshop on Semantic Audio and the Internet of Things (ISAI), in IEEE FRUCT Conference, 2018 Editore: IEEE FRUCT Open Innovations Association Investigating Language Variability on the Performance of Speaker Verification Systems Autori: Vaheb, A., Choobbasti, A., Mortazavi, S., and Safavi, S. Pubblicato in: Proc. of the 21st International Conference on Speech and Computer (SPECOM), 2018 Editore: Springer Predicting the perceived level of reverberation using machine learning Autori: Safavi, S., Pearce, A., Wang, W., Plumbley, M. Pubblicato in: Proc. of the Asilomar Conference on Signals, Systems, & Computers, 2018 Editore: IEEE JSPEECH: A Multi-lingual conversational speech corpus Autori: Choobbasti, A., Gholamian, M., Vaheb, A., and Safavi, S. Pubblicato in: Proc. of the Speech and Language Technology Workshop (SLT), 2018 Editore: IEEE Demo of interactions between a performer playing a Smart Mandolin and audience members using Musical Haptic Wearables Autori: Turchet, L., Barthet, M. Pubblicato in: Proc. of the New Interfaces for Musical Expression (NIME), 2018 Editore: Virginia Tech Live Repurposing of Sounds: MIR Explorations with Personal and Crowdsourced Databases Autori: Xambó, A., Roma, G., Lerch, A., Barthet, M., Fazekas, G. Pubblicato in: Proc. of the New Interfaces for Musical Expression (NIME), 2018 Editore: NIME Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure Autori: Liang, B., Fazekas, G., Sandler, M. Pubblicato in: Proc. of the 26th European Signal Processing Conference (EUSIPCO), 2018 Editore: EURASIP Audio Commons Ontology: A Data Model for an Audio Content Ecosystem Autori: Ceriani, M., Fazekas, G. Pubblicato in: Proc. of the 17th International Semantic Web Conference (ISWC), 2018 Editore: Springer, LNCS Feature Design Using Audio Decomposition for Intelligent Control of the Dynamic Range Compressor Autori: Sheng, D., Fazekas, G. Pubblicato in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 Editore: IEEE Exploring Real-time Visualisations to Support Chord Learning with a Large Music Collection Autori: Pauwels, J., Xambó, A., Roma, G., Barthet, M., György Fazekas Pubblicato in: Proc. of the Web Audio Conference (WAC), 2018 Editore: Furtwangen University, Technische Universität Berlin Jam with Jamendo: Querying a Large Music Collection by Chords from a Learner’s Perspective Autori: Xambó, A., Pauwels, J., Roma, G., Barthet, M., György Fazekas Pubblicato in: Proc. of the 13th International Audio Mostly Conference, 2018 Editore: ACM Embodied Interactions with E-Textiles and the Internet of Sounds for Performing Arts Autori: Skach, S., Xambó, A., Turchet, L., Stolfi, A., Stewart, R., Barthet, M. Pubblicato in: Proc.of the 12th International Conference on Tangible, Embedded, and Embodied Interaction, 2018 Editore: ACM Participatory musical improvisations with Playsound.space Autori: Stolfi, A., Milo, A., Ceriani, M., Barthet, M. Pubblicato in: Proc. of the Web Audio Conference (WAC), 2018 Editore: Furtwangen University, Technische Universität Berlin Playsound.space: Inclusive Free Music Improvisations Using Audio Commons Autori: Stolfi, A., Milo, Viola, F., A., Ceriani, M., Barthet, M. Pubblicato in: Proc. of the New Interfaces for Musical Expression (NIME), 2018 Editore: NIME Playsound.space: An Ubiquitous System in Progress Autori: Stolfi, A., Milo, Viola, F., A., Ceriani, M., Barthet, M. Pubblicato in: Proc. of the Eighth Workshop on Ubiquitous Music (UbiMus), 2018 Editore: Federal University of São João del-Rei Towards a Semantic Architecture for the Internet of Musical Things Autori: Luca Turchet, Fabio Viola, Gyorgy Fazekas, Mathieu Barthet Pubblicato in: 2018 23rd Conference of Open Innovations Association (FRUCT), 2018, Pagina/e 382-390, ISBN 978-9-5268-6536-2 Editore: IEEE DOI: 10.23919/fruct.2018.8587917 Jamming with a smart mandolin and Freesound Autori: Turchet, L., Barthet, M. Pubblicato in: Proc. of the International Workshop on Semantic Audio and the Internet of Things (ISAI) collocated with the 23rd IEEE FRUCT Open Innovations Association conference, 2018 Editore: IEEE FRUCT Open Innovations Association The Audio Commons Initiative Autori: Milo, A., Barthet, M., Fazekas, G. Pubblicato in: Proc. of the Digital Music Research Network (DMRN), 2018 Editore: Queen Mary University of London Ubiquitous Musical Activities with Smart Musical Instruments Autori: Turchet, L., Barthet, M. Pubblicato in: Proc. of the Eighth Workshop on Ubiquitous Music (UbiMus), 2018 Editore: Federal University of São João del-Rei Skip prediction using boosting trees based on acoustic feature of tracks in sessions Autori: Ferraro, A., Bogdanov D., Serra X. Pubblicato in: Proc. of the 12th ACM International Conference on Web Search and Data Mining, 2019 WSDM Cup Workshop, 2019 Editore: ACM Mining metadata from the web for AcousticBrainz Autori: Alastair Porter, Dmitry Bogdanov, Xavier Serra Pubblicato in: Proceedings of the 3rd International workshop on Digital Libraries for Musicology - DLfM 2016, 2016, Pagina/e 53-56, ISBN 9781-450347518 Editore: ACM Press DOI: 10.1145/2970044.2970048 Audio Commons: Bringing Creative Commons Audio Content to the Creative Industries Autori: Font, Frederic; Brookes, Tim; Fazekas, George; Guerber, Martin; La Burthe, Amaury; Plans, David; Plumbley, Mark D.; Shaashua, Meir; Wang, Wenwu; Serra, Xavier Pubblicato in: 61st International Conference: Audio for Games, 2016 Editore: Audio Engineering Society 2017 AES International Conference on Semantic Audio Autori: Pearce, A., Brookes, T., Mason, R. Pubblicato in: Audio Engineering Society Conference on Semantic Audio, 2017, ISBN 978-1-942220-15-2 Editore: Audio Engineering Society DOI: 10.17743/aesconf.2017.978-1-942220-15-2 Cross-collection evaluation for music classification tasks Autori: Bogdanov, D., Porter, A., Herrera, P., Serra, X. Pubblicato in: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2016 Editore: NYU Web Publishing Tempo Estimation for Music Loops and a Simple Confidence Measure Autori: Font, F., Serra, X. Pubblicato in: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2016 Editore: NYU Web Publishing Automatic Tagging Using Deep Convolutional Neural Networks Autori: Choi, K., Fazekas, G., Sandler, M. Pubblicato in: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2016 Editore: NYU Web Publishing An Ontology for Audio Features Autori: Allik, A., Fazekas, G., Sandler, M. Pubblicato in: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2016 Editore: NYU Web Publishing A Higher-Dimensional Expansion of Affective Norms for English Terms for Music Tagging Autori: Buccoli, M., Zanoni, M., Fazekas, G., Sarti A., Sandler, M. Pubblicato in: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2016 Editore: NYU Web Publishing Transfer Learning for Music Classification and Regression Tasks Autori: Choi, K., Fazekas, G., Sandler, M., Cho, K. Pubblicato in: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2017 Editore: National University of Singapore Research Institute (NUSRI) Exploring Confidence Measures and Their Application in Music Labelling Systems Based on Hidden Markov Models Autori: Pauwels, J., Fazekas, G., Sandler, M. Pubblicato in: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2017 Editore: National University of Singapore Research Institute (NUSRI) Convolutional Recurrent Neural Networks for Music Classification Autori: Choi, K., Fazekas, G., Sandler, M., Cho, K. Pubblicato in: Proceedings of the 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017 Editore: IEEE Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions Autori: Choi, K., Fazekas, G., Sandler, M. Pubblicato in: Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems (SOAP), 2016, ISBN 978-1-4503-2138-9 Editore: ACM DOI: 10.1145/1235 Knowledge Extraction from Audio Content Service Providers’ API Descriptions Autori: Damir Juric, György Fazekas Pubblicato in: Proceedings of the 10th International Conference on Metadata and Semantics Research (MTSR), 2016, Pagina/e 55-66 Editore: Springer International Publishing DOI: 10.1007/978-3-319-49157-8_5 Realising a Layered Digital Library: Exploration and Analysis of the Live Music Archive through Linked Data Autori: Kevin R. Page, Sean Bechhofer, Gyorgy Fazekas, David M. Weigl, Thomas Wilmering Pubblicato in: 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2017, Pagina/e 1-10, ISBN 978-1-5386-3861-3 Editore: IEEE DOI: 10.1109/JCDL.2017.7991563 AUFX-O: Novel Methods for the Representation of Audio Processing Workflows Autori: Thomas Wilmering, György Fazekas, Mark B. Sandler Pubblicato in: Proceedings of the 15th International Semantic Web Conference (ISWC 2016) - Lecture Notes in Computer Science, vol 9982., 2016, Pagina/e 229-237 Editore: Springer International Publishing DOI: 10.1007/978-3-319-46547-0_24 Ontological Representation of Audio Features Autori: Alo Allik, György Fazekas, Mark Sandler Pubblicato in: Proceedings of the 15th International Semantic Web Conference (ISWC 2016) - Lecture Notes in Computer Science, vol 9982, 2016, Pagina/e 3-11 Editore: Springer International Publishing DOI: 10.1007/978-3-319-46547-0_1 Peer reviewed articles (10) Measurement, Recognition and Visualisation of Piano Pedalling Gestures and Techniques Autori: Liang, B., Fazekas, G., Sandler, M. Pubblicato in: Journal of the Audio Engineering Society, Vol. 66, Numero 6, 2018, ISSN 2471-285X Editore: AES The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging Autori: Choi, K., Fazekas, G., Sandler, M., Cho, K. Pubblicato in: IEEE Transactions on Emerging Topics in Computational Intelligence Vol. 2, No. 2, 2018, ISSN 2471-285X Editore: IEEE Co-design of Musical Haptic Wearables for Electronic Music Performer’s Communication Autori: Turchet, L., Barthet, M. Pubblicato in: IEEE Transactions on Human-Machine Systems, 2018, ISSN 2168-2291 Editore: IEEE Systems, Man, and Cybernetics Society Real-time hit classification in a Smart Cajón Autori: Turchet, L., McPherson, A., Barthet, M. Pubblicato in: Frontiers in ICT, 2018, ISSN 2297-198X Editore: Frontiers in ICT Co-design of a Smart Cajón Autori: Turchet, L., McPherson, A., Barthet, M. Pubblicato in: Journal of the Audio Engineering Society, 2018, ISSN 2297-198X Editore: AES Audio Semantics: Online Chat Communication in Open Band Participatory Music Performances Autori: Stolfi, A., Sokolovskis, J. , Gorodscy, F. , Iazzetta, F., Barthet, M. Pubblicato in: Journal of the Audio Engineering Society, 2018, ISSN 2297-198X Editore: AES Internet of Musical Things: Vision and Challenges Autori: Turchet, L., Fischione, C., Essl, G., Keller, D., & Barthet, M. Pubblicato in: IEEE Access, 2018, ISSN 2169-3536 Editore: Institute of Electrical and Electronics Engineers Inc. Musical Source Separation: An Introduction Autori: Estefanía Cano, Derry FitzGerald, Antoine Liutkus, Mark D. Plumbley and Fabian-Robert Stöter Pubblicato in: IEEE Signal Processing Magazine, 2019, ISSN 1558-0792 Editore: IEEE Modelling Timbral Hardness Autori: Pearce, A., Brookes, T., Mason, R. Pubblicato in: Journal of Applied Sciences, 2019, ISSN 2076-3417 Editore: MDPI From Interactive to Adaptive Mood-Based Music Listening Experiences in Social or Personal Contexts Autori: Mathieu Bartet, György Fazekas, Alo Alik, et al Pubblicato in: Journal of the Audio Engineering Society, Numero 64/9, 2016, Pagina/e 673-682, ISSN 1549-4950 Editore: Audio Engineering Society DOI: 10.17743/jaes.2016.0042 Book chapters (2) Smart Musical Instruments: Key Concepts and Do It Yourself Tutorial Autori: Turchet, L., Barthet, M. Pubblicato in: Foundations in Sound Design: an interdisciplinary approach, 2019 Editore: Routledge Leveraging Online Audio Commons Content For Media Production Autori: Xambó, A., Font, F., Fazekas, G., Barthet, M. Pubblicato in: Foundations in Sound Design: an interdisciplinary approach, 2019 Editore: Routledge Other (1) The Audio Commons Initiative Autori: Font, F., Serra, X Pubblicato in: International Society for Music Information Retrieval Conference (late-breaking demo), 2015 Editore: University of Malaga È in corso la ricerca di dati su OpenAIRE... Si è verificato un errore durante la ricerca dei dati su OpenAIRE Nessun risultato disponibile