Detecting Socially Significant Music Events Using Temporally Noisy Labels.
IEEE Transactions on Multimedia(2018)
摘要
In this paper, we focus on event detection over the timeline of a music track. Such technology is motivated by the need for innovative applications such as searching, nonlinear access, and recommendation. Event detection over the timeline requires time-code level labels in order to train machine learning models. We use timed comments from SoundCloud, a modern social music sharing platform, to obta...
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关键词
Event detection,Music,Noise measurement,Training,Streaming media,Feature extraction
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