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In this paper, we present a multimodal approach to structure segmentation of music with applications to audio content analysis and music information retrieval. In particular, since lyrics contain rich information about the semantic structure of a song, our approach incorporates lyrics to overcome the existing difficulties associated with large acoustic variation in music. We further design a constrained...
As one of the most important mid-level features of music, chord contains rich information of harmonic structure that is useful for music information retrieval. In this paper, we present a chord recognition system based on the N-gram model. The system is time-efficient, and its accuracy is comparable to existing systems. We further propose a new method to construct chord features for music emotion...
Typical music emotion classification (MEC) approaches categorize emotions and apply pattern recognition methods to train a classifier. However, categorized emotions are too ambiguous for efficient music retrieval. In this paper, we model emotions as continuous variables composed of arousal and valence values (AV values), and formulate MEC as a regression problem. The multiple linear regression, support...
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