telmi.upf.eduTELMI - Innovative Music Learning Technologies

. PleaseThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688269 The general objectives of the project are: 1. to design and implement new interaction paradigms for music learning and training based on state-of-the-art multi-modal (audio, image, video, and motion) technologies, 2. to evaluate the pedagogical effectiveness of such new paradigms, 3. to develop new multi-modal, interactive music learning prototypes for student-teacher, student only, and collaborative learning scenarios, 4. to create a publicly available reference database of multimodal recordings for online learning and social interaction among students. The results of the project will serve as a basis for the development of next generation music learning systems, thereby improving on current student-teacher interaction and student-only practice, providing the potential to make music education and its benefits accessible to a substantially wider public. Partners Universitat Pompeu Fabra Università degli Studi di Genova Royal College of Music Highskillz Saico Intelligence SL Publications The project consortium’s members have published a number of journal publications, and conference and workshop papers on the scientific concerns addressed in and related directly to enhancing music learning with technology. A complete list of these publications can be found here . Public Deliverables D.1.2 Data Management Plan. download D.2.5 User-evaluations of each technology in each scenario completed download D.3.2 First working prototypes of the measuring systems. download D.3.3 Second Version of the Data Acquisition System Prototypes download D.6.2 First version of System Platform download D.7.2 Start-up public event. download D.7.3 Website of the Project, 1st version. download D.7.4 Second public event. download D.7.5 Final public event. download Open Database During the project a set of multi­modal recordings of performances was captured, including teachers and students. This data was used in the prototypical solutions for technology-enhanced music learning, as well as to refine analysis algorithms developed during the project. The raw data acquired from performances was analyzed and enriched with feature extraction techniques. This data is now available online in this public database under a Creative Commons (CC) license. Access the database here . Latest News at the Forum for Musical Education in the 21st century Interactive ViolinRT demo at ESMUC at EMVIC conservatory at the ECGBL 17 Conference in the International Symposium on Performance Science. Announcing the 10th Itnl Workshop on Machine Learning and Music Artist’s Residence YoMo: Presentation to the GSMA Mobile World Congress on betevé Television UPF’s Zacharias Vamvakousis and Rafael Ramírez in the Media at the MML 16 Workshop at the ECGBL 16 Conference Eyes Web Week 2016 Start-up Public Event Festa de la Ciència in the Media Team Rafael Ramírez Universitat Pompeu Fabra Principal Investigator of the project. Leads UPF’s contribution. + info Alfonso Perez Universitat Pompeu Fabra Co-investigator and Main Originator of the project. + info Gualtiero Volpe University of Genova Scientific responsible for UNIGE’s contribution to the project. + info Aaron Williamon Royal College of Music Leads the Royal College of Music’s contribution to the project. + info Manuel Oliveira HighSkillz Principal Investigator of HighSkillz contribution to the project. + info Anna Carreras Saico Intelligence SL Leads SAICO Intelligence’s contribution to the project. + info Ayman Moghnieh Saico Intelligence SL Technology commercialization and business development + info Antonio Camurri University of Genova Senior scientific advisor from UNIGE. + info George Waddell Royal College of Music Research Associate on the RCM contribution to the project. + info João Carlos Costa HighSkillz Project manager of HighSkillz contribution to the project. + info Francesc Sans Saico Intelligence SL Software Development Manager at SAICO Intelligence. + info Sergio Giraldo Universitat Pompeu Fabra Postdoc research assistant on the UPF contribution to the project. + info Corrado Canepa University of Genova Co-investigator on the UNIGE contribution to the project + info Madeleine Mitchell Royal College of Music Co-investigator on the RCM contribution to the project. + info Maria Margoudi HighSkillz Research associate of HighSkillz contribution to the project. + info Zacharias Vamvakousis Universitat Pompeu Fabra Research assistant on the UPF contribution to the project. + info Letizia Gionfrida RCM Research assistant and member of the RCM team + info Technologies SkyNote SkyNote is an intelligent learning assistant that helps violin learners improve their performance and acquire skills more efficiently. + info Planner The Planner is a digital companion for musical practice planning. It empowers students to increase their effectiveness via the deliberate practice cycle: + info Studio The Studio is an online platform that brings performers together and guides them through a process of sharing, critiquing, and discussing their craft, simultaneously enhancing their performance and feedback skills. + info RepoVizz RepoVizz is a cloud service for collaborative data-driven research projects on performance and body motion. + info EyesWeb EyesWeb is an open platform to support the design and development of real-time multimodal systems and interfaces. + info Contact If you have any enquieries, please do not hesitate contacting us Music Technology Group Communication Campus-Poblenou Universitat Pompeu Fabra Tanger, 122-144 (3rd floor) 08018 Barcelona Spain Telf. +34.93.542.2194 Twitter Youtube Vimeo Technology Enhanced Learning of Musical Instrument Performance Twitter...