Inclusive sound and music serious games in a large‐scale responsive environment

Mandanici, Marcella; Altieri, Federico; Rodà, Antonio; Canazza, Sergio

doi:10.1111/bjet.12630

Cited by 21 publications

(8 citation statements)

References 16 publications

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“…In recent years, with the development of AI technology, it has been widely used in music composition, which can improve the efficiency of music composition and increase the novelty characteristics of music effects on the basis of saving labor costs [18]. This will have a positive impact on promoting the commercialization of China's music industry.…”

Section: Current State Of Research In Music Compositionmentioning

confidence: 99%

Feasibility of Music Composition Using Deep Learning-Based Quality Classification Models

Zhang

2022

Wireless Communications and Mobile Computing

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Polyphonic music technique is the foundation of students’ understanding of musical works. The mastery of polyphonic music techniques enables students to better understand the meaning of musical works and get in touch with the soul of music. Hence, teaching polyphonic music is a compulsory course for composition theory. In the past, all the concepts taught in the composition theory class included the use of the main key, and the minimal amount of polyphonic music works was covered. Also, even if students encountered polyphonic music, a brief inclusion of the same would be included in teaching, creating difficulties for the students to understand polyphonic music well. Intelligent music composition, however, refers to a formalized process that allows the composer to create music with the help of a computer, ensuring minimal human intervention. With the popularity of the Internet and the rapid development of multimedia technology, the majority of the users now use online music applications. Therefore, the need to automatically organize and manage the huge amount of music data effectively has evolved. Studying intelligent music composition helps to understand and simulate the way of thinking of composers in making compositions. It also helps to assist composers in making music, in addition to entertaining people. Considering the aforementioned, the present paper uses a deep learning-based quality classification model for music composition feasibility. The experimental results show that the algorithm has the advantages of fast detection speed and high quality. It helps composers to compose music, greatly reduces the workload, and also ensures certain promotion value.

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Section: Current State Of Research In Music Compositionmentioning

confidence: 99%

Feasibility of Music Composition Using Deep Learning-Based Quality Classification Models

Zhang

2022

Wireless Communications and Mobile Computing

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“…Since the 2010s, CSC has been developing interactive applications based on large-scale responsive environments and user-friendly involvement with expressive behavior (for teaching music or for tuition of the visually impaired), emphasizing the added pedagogical value of fun and competition. Experimental results showed a great user engagement and a satisfying amount of successful results in formal task activities (Zanolla et al 2013;Mandanici, Rodà, and Canazza 2017;Mandanici et al 2018).…”

Section: Multimodal Interaction For Learning and Well-beingmentioning

confidence: 98%

Four Decades of Music Research, Creation, and Education at Padua's Centro di Sonologia Computazionale

Canazza

Poli

2019

Computer Music Journal

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Research in computer music at the University of Padua, Italy, began in the early 1970s and was formalized in 1979 by establishing the Centro di Sonologia Computazionale (CSC). Since its foundation, CSC has established itself as a leading research center in the field of computer music. This article describes the scientific and musical research activities of the center and of the composers and members who worked in association with it in its first four decades. The center's historical background with its musical and scientific precursors is also chronicled, as are important events at CSC. An outline of its scientific research activity is then traced, with aspects of the technical details in its different areas of activities, showing the distinctive research ethos and the changing priorities of the center. Research from the 1970s is also included, as it led to the foundation of the CSC. Moreover, selected musical works, representative of CSC works from historical and scientific points of view, are described. Finally, perspectives for future developments are discussed.

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“…While a range of musical serious games have been developed for music education (cf. Mandanici et al, 2018), games that are directly targeted at specific clinical problems, and that specifically use musical aspects as a main way to target these problems, are still relatively sparse.…”

Section: Serious Gamesmentioning

confidence: 99%

Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being

et al. 2021

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The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being. In an effort to strengthen the collaboration between the involved disciplines, the workshop “Music, Computing, and Health” was held to discuss best practices and state-of-the-art at the intersection of these areas with researchers from music psychology and neuroscience, music therapy, music information retrieval, music technology, medical technology (medtech), and robotics. Following the discussions at the workshop, this article provides an overview of the different methods of the involved disciplines and their potential contributions to developing music technology for health and well-being. Furthermore, the article summarizes the state of the art in music technology that can be applied in various health scenarios and provides a perspective on challenges and opportunities for developing music technology that (1) supports person-centered care and evidence-based treatments, and (2) contributes to developing standardized, large-scale research on music-based interventions in an interdisciplinary manner. The article provides a resource for those seeking to engage in interdisciplinary research using music-based computational methods to develop technology for health care, and aims to inspire future research directions by evaluating the state of the art with respect to the challenges facing each field.

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Inclusive sound and music serious games in a large‐scale responsive environment

Cited by 21 publications

References 16 publications

Feasibility of Music Composition Using Deep Learning-Based Quality Classification Models

Feasibility of Music Composition Using Deep Learning-Based Quality Classification Models

Four Decades of Music Research, Creation, and Education at Padua's Centro di Sonologia Computazionale

Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being

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