Stefano Fasciani

• Copiaco, Abigail; Ritz, Christian; Fasciani, Stefano & AbdulAziz, Nidhal (2021). Identifying Sound Source Node Locations Using Neural Networks Trained with Phasograms. Proceedings of IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).  ISSN 2641-5542. . doi: 10.1109/ISSPIT51521.2020.9408643
• Copiaco, Abigail; Ritz, Christian; Abdulaziz, Nidhal & Fasciani, Stefano (2021). A Study of Features and Deep Neural Network Architectures and Hyper-Parameters for Domestic Audio Classification. Applied Sciences.  ISSN 2076-3417.  11(11) . doi: 10.3390/app11114880
• Fasciani, Stefano & Goode, Jackson (2021). 20 NIMEs: Twenty Years of New Interfaces for Musical Expression, In Roger Dannenberg & Xiao Xiao (ed.),  Proceedings of the International Conference on New Interfaces for Musical Expression.  The International Conference on New Interfaces for Musical Expression. Full text in Research Archive. Show summary

  This paper provides figures and metrics over twenty years of New Interfaces for Musical Expression conferences, which are derived by analyzing the publicly available paper proceedings. Besides presenting statistical information and a bibliometric study, we aim at identifying trends and patterns. The analysis shows the growth and heterogeneity of the NIME demographic, as well the increase in research output. The data presented in this paper allows the community to reflect on several issues such as diversity and sustainability, and it provides insights to address challenges and set future directions.

• Copiaco, Abigail; Ritz, Christian; Fasciani, Stefano & Abdulaziz, Nidhal (2020). An Application for Dementia Patient Monitoring with Sound Level Assessment Tool, In . IEEE (ed.),  2020 3rd International Conference on Signal Processing and Information Security (ICSPIS).  IEEE.  ISBN 978-1-7281-8998-7.  Conference Paper.
• Støckert, Robin; Bergsland, Andreas; Fasciani, Stefano & Jensenius, Alexander Refsum (2020). Student active learning in a two campus organisation. eLearning and Software for Education.  ISSN 2066-026X.  1, s 612- 620 . doi: 10.12753/2066-026X-20-080 Show summary

  Higher education is facing disruptive changes in many fields. Students wants to have the option of learning anywhere, anytime and in any format. Universities need to develop and deliver to future students a complete learning ecosystem. At the same time universities are facing challenges such as growing costs and the pressure to give the students the knowledge, competence, skills and ability to continuously adapt to future job environments. As a consequence, many universities are investigating new ways of collaboration and sharing resources to cater to the demands of students, industry and society. An example of this collaboration is a new joint master between the two largest Universities in Norway: University of Oslo (UiO) and Norwegian University of Science and Technology (NTNU). In this paper, we present the lessons learned from almost two years of teaching and learning in the new joint master's programme, "Music, Communication and Technology" (MCT), between NTNU and UiO. This programme is a run in a two-campus learning space built as a two-way, audio-visual, high-quality, low-latency communication channel between the two campuses, called "The Portal". Moreover, MCT is the subject of research for the SALTO (Student Active Learning in a Two campus Organisation) project, where novel techniques in teaching and learning are explored, such as team-based learning (TBL), flipped classroom, and other forms of student active learning. Educational elements in this master, provides the student with 21 century skills and deliver knowledge within humanities, entrepreneurship and technology. We elaborate on the technical, pedagogical and learning space-related challenges toward delivering teaching and learning in these cross-university settings. The paper concludes with a set of strategies that can be used to improve student active learning in different scenarios.

• Copiaco, Abigail; Ritz, Christian H; Fasciani, Stefano & Abdulaziz, Nidhal (2019). Scalogram Neural Network Activations with Machine Learning for Domestic Multi-channel Audio Classification. IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).  ISSN 2162-7843. . doi: 10.1109/ISSPIT47144.2019.9001814
• Copiaco, Abigail; Ritz, Christian; Abdulaziz, Nidhal & Fasciani, Stefano (2019). Identifying Optimal Features for Multi-channel Acoustic Scene Classification, In Eesa M Bastaki & Husameldin Mukhtar (ed.),  2019 2nd International Conference on Signal Processing and Information Security (ICSPIS).  IEEE.  ISBN 978-1-7281-3873-2.  Conference Paper.

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• Fasciani, Stefano; Jensenius, Alexander Refsum; Støckert, Robin & Xambó, Anna (2020). The MCT Portal: an infrastructure, a laboratory and a pedagogical tool.
• Jensenius, Alexander Refsum; Erdem, Cagri; Kwak, Dongho Daniel; Rahman, Habibur; Glette, Kyrre; Krzyzaniak, Michael Joseph; Lan, Qichao & Fasciani, Stefano (2020). Strings On-Line. Show summary

  An interactive art installation presented during the International Conference on New Interfaces for Musical Expression (NIME) 2020.

• Støckert, Robin; Bergsland, Andreas; Fasciani, Stefano & Jensenius, Alexander Refsum (2020). Student active learning in a two campus organisation. Show summary

  Higher education is facing disruptive changes in many fields. Students wants to have the option of learning anywhere, anytime and in any format. Universities need to develop and deliver to future students a complete learning ecosystem. At the same time universities are facing challenges such as growing costs and the pressure to give the students the knowledge, competence, skills and ability to continuously adapt to future job environments. As a consequence, many universities are investigating new ways of collaboration and sharing resources to cater to the demands of students, industry and society. An example of this collaboration is a new joint master between the two largest Universities in Norway: University of Oslo (UiO) and Norwegian University of Science and Technology (NTNU). In this paper, we present the lessons learned from almost two years of teaching and learning in the new joint master's programme, "Music, Communication and Technology" (MCT), between NTNU and UiO. This programme is a run in a two-campus learning space built as a two-way, audio-visual, high-quality, low-latency communication channel between the two campuses, called "The Portal". Moreover, MCT is the subject of research for the SALTO (Student Active Learning in a Two campus Organisation) project, where novel techniques in teaching and learning are explored, such as team-based learning (TBL), flipped classroom, and other forms of student active learning. Educational elements in this master, provides the student with 21st century skills and deliver knowledge within humanities, entrepreneurship and technology. We elaborate on the technical, pedagogical and learning space-related challenges toward delivering teaching and learning in these cross-university settings. The paper concludes with a set of strategies that can be used to improve student active learning in different scenarios.

View all works in Cristin