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Recently, advanced multimedia technologies enable a rapid growth of music data. It is accordingly a challenging issue to effectively retrieve the desired music pieces from a music collection. Traditional solutions for music retrieval can be divided into two types, namely text-based music retrieval and content-based music retrieval. However, it is difficult to satisfy both textual-percept and audio-content...
This paper gives an overview of how challenging song writing is and gives an insight on how we developed a semi-automatic lyric generator for English songs. Writing lyrics has always been a challenging task as it involves not only creativity but also inspiration. Prior to implementation of the lyrics generator, much analysis were carried out so as to get in-depth information about the requirements...
The pervasive use of Peer-to-Peer (P2P) systems and the growing demand on personalization for consumers has made future business focus on the niche market instead of the mass market. The recommender system, which is able to timely select data of the interest to each individual user, has become the key to any successful business. However, currently most recommendation systems are based on a centralized...
In this paper, we describe a method for matching song lyrics with semantic annotations of picture collections in order to suggest songs that reflect picture content in lyrics or genre. Picture collections are first analyzed to extract a variety of semantic information including scene type, event type, and geospatial information. When aggregated over a picture collection, this semantic information...
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