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Razvan Paroiu and Stefan Trausan-Matu
In this paper, a new method that computes the aesthetics of a melody fragment is proposed, starting from dissonances. While music generated with artificial intelligence applications may be produced considerably more quickly than human-composed music, it ...
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Bishal Lamichhane, Aniket Kumar Singh, Suman Devkota, Uttam Dhakal, Subham Singh and Chandra Dhakal
This study analyzes a network of musical influence using machine learning and network analysis techniques. A directed network model is used to represent the influence relations between artists as nodes and edges. Network properties and centrality measure...
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Xiao Hu, Fanjie Li and Ruilun Liu
The subjectivity of listeners? emotional responses to music is at the crux of optimizing emotion-aware music recommendation. To address this challenge, we constructed a new multimodal dataset (?HKU956?) with aligned peripheral physiological signals (i.e....
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Fanzhi Jiang, Liumei Zhang, Kexin Wang, Xi Deng and Wanyan Yang
Recent studies demonstrate that algorithmic music attracted global attention not only because of its amusement but also its considerable potential in the industry. Thus, the yield increased academic numbers spinning around on topics of algorithm music ge...
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Constantin Popp and Damian T. Murphy
Room-scale virtual reality (VR) affordance in movement and interactivity causes new challenges in creating virtual acoustic environments for VR experiences. Such environments are typically constructed from virtual interactive objects that are accompanied...
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Deeraj Nagothu, Ronghua Xu, Yu Chen, Erik Blasch and Alexander Aved
With the fast development of Fifth-/Sixth-Generation (5G/6G) communications and the Internet of Video Things (IoVT), a broad range of mega-scale data applications emerge (e.g., all-weather all-time video). These network-based applications highly depend o...
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Laura Pierucci
Unmanned aerial vehicles (UAV) have attracted increasing attention in acting as a relay for effectively improving the coverage and data rate of wireless systems, and according to this vision, they will be integrated in the future sixth generation (6G) ce...
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Maarten Grachten, Stefan Lattner and Emmanuel Deruty
Deep learning has given AI-based methods for music creation a boost by over the past years. An important challenge in this field is to balance user control and autonomy in music generation systems. In this work, we present BassNet, a deep learning model ...
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sulastri sulastri
Pág. 30 - 38
West Java is the area that is rich in traditional music, one of them is angklung, which is a musical instrument made of bamboo and played by shaking . As one of the traditional musical instruments, angklung as musical instrument should be maintained by t...
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Darrell Conklin, Martin Gasser and Stefan Oertl
This paper describes the theory and implementation of a digital audio workstation plug-in for chord sequence generation. The plug-in is intended to encourage and inspire a composer of electronic dance music to explore loops through chord sequence pattern...
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