iPlayr - 情緒感知音樂平台
iPlayr - an Emotion-aware Music Platform
Date Issued
2007
Date
2007
Author(s)
Hsu, David Chawei
DOI
en-US
Abstract
With the development of the music technique, producing a song becomes much more easier. Consequently, it makes the songs existing in this world become more and more or even uncountable. If the user wants to search some particular songs that fit the user's feeling, it would be a tough task. Each song contains lots of information and feelings. Generally, the content of the song such as the melody or the lyrics, or the context like artist name, title, album, genre, etc. are defined to be the essential elements and information of a song.
In this thesis, we focus on the textual and contextual analysis of music to verify their importance in music emotion analysis. We utilize Commonsense Computing to solve the emotion and keyword extraction problems. Based on these analyses, we build up an emotion-aware music platform, iPlayr, to demonstrate our ideas. Moreover, according to the evaluation results, we explain how these textual and contextual information affect the completeness and accuracy of music emotion analysis.
Subjects
常識運算
情緒擷取
關鍵字擷取
歌詞
音樂推薦系統
commonsense computing
emotion extraction
keyword extraction
lyrics
music information retrieval
music recommendation system
Type
thesis
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