Results 21 to 30 of about 18,412 (257)
The results do not confirm the influence of the type of secondary education completed on intercultural sensitivity, world music preferences or on preferences for visual artwork from different cultures.
Snježana Dobrota +2 more
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Hearing aids are typically fitted using speech-based prescriptive formulae to make speech more intelligible. Individual preferences may vary from these prescriptions and may also vary with signal type.
Jonathan M. Vaisberg +4 more
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Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes
Music preferences are strongly shaped by the cultural and socio-economic background of the listener, which is reflected, to a considerable extent, in country-specific music listening profiles. Previous work has already identified several country-specific
Markus Schedl +5 more
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Caressed by music: Related preferences for velocity of touch and tempo of music?
Given that both hearing and touch are ‘mechanical senses’ that respond to physical pressure or mechanical energy and that individuals appear to have a characteristic internal or spontaneous tempo, individual preferences in musical and touch rhythms might
Uta Sailer +3 more
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Empathy plays a role in social competence and intelligence, and can serve as a buffer against antisocial tendencies. Numerous studies highlight the relationship between empathy, prosocial behaviors, and the predictive utility of music preferences.
Shannon Scott Clark +1 more
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What Else Can Music Preferences do? A Commentary on Clark and Giacomantonio
This commentary considers the uses to which information about music preferences can be put, considering the findings from Clark and Giacomantonio (2015) and other related studies of music preferences. It focuses on three areas. Firstly, the ways in which
Alexandra Lamont
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A Deep Temporal Neural Music Recommendation Model Utilizing Music and User Metadata
Deep learning shows its superiority in many domains such as computing vision, nature language processing, and speech recognition. In music recommendation, most deep learning-based methods focus on learning users’ temporal preferences using their ...
Hai-Tao Zheng +5 more
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THE EFFECT OF MUSIC PREFERENCE ON LEARNING OUTCOMES IN SOLFEGIO COURSES
Everyone, especially students of music education study programs, of course have different musical preferences. Preference is the tendency to choose and like certain types of music.
Clemy Ikasari Ichwan, Dani Nur Saputra
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Leveraging the Structure of Musical Preference in Content-Aware Music Recommendation [PDF]
State-of-the-art music recommendation systems are based on collaborative filtering, which predicts a user's interest from his listening habits and similarities with other users' profiles. These approaches are agnostic to the song content, and therefore face the cold-start problem: they cannot recommend novel songs without listening history.
Paul Magron, Cédric Févotte
openaire +2 more sources
Prediction Model of Music Popular Trend Based on NNS and DM Technology
The popular trend of today’s music can be obtained by deep excavation, analysis, and prediction of the audience’s preferences. Using huge music library resources and user behavior to form music big data and truly realizing the aggregation of audience ...
Yichen Xu +3 more
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