منابع مشابه
Listening to Music in Groups
We evaluate the music taste representation computation and song matching capabilities of Jukefox, a smart music player for Android developed at the distributed computing group at ETH Zürich. We then use this music taste representation for single persons to create group playlists. A group playlist contains the aggregated songs of all group members, ordered from best to worst. The more group memb...
متن کاملMusic-Listening Systems
When human listeners are confronted with musical sounds, they rapidly and automatically orient themselves in the music. Even musically untrained listeners have an exceptional ability to make rapid judgments about music from very short examples, such as determining the music’s style, performer, beat, complexity, and emotional impact. However, there are presently no theories of music perception t...
متن کاملLoud Music Listening
Over the past four decades, there has been increasing interest in the effects of music listening on hearing. The purpose of this paper is to review published studies that detail the noise levels, the potential effects (e.g. noise-induced hearing loss), and the perceptions of those affected by music exposure in occupational and non-occupational settings. The review employed Medline, PubMed, Psyc...
متن کاملMusic Listening in the Future: Augmented Music-Understanding Interfaces and Crowd Music Listening
In the future, music listening can be more active, more immersive, richer, and deeper by using automatic music-understanding technologies (semantic audio analysis). In the first half of this invited talk, four Augmented Music-Understanding Interfaces that facilitate deeper understanding of music are introduced. In our interfaces, visualization of music content and music touch-up (customization)...
متن کاملListening Level Changes Music Similarity
We examine the effect of listening level, i.e. the absolute sound pressure level at which sounds are reproduced, on music similarity, and in particular, on playlist generation. Current methods commonly use similarity metrics based on Mel-frequency cepstral coefficients (MFCCs), which are derived from the objective frequency spectrum of a sound. We follow this approach, but use the level-depende...
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ژورنال
عنوان ژورنال: The Iowa Review
سال: 1973
ISSN: 0021-065X,2330-0361
DOI: 10.17077/0021-065x.1504