improving music mood classification using lyrics, audio and social tags
improving music mood classification using lyrics, audio and social tags
improving music mood classification using lyrics, audio and social tags
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
value to find out whether combining complete <strong>lyrics</strong> with short <strong>audio</strong> excerpts can help<br />
compensate the (possibly significant) information loss due to the approximation of complete<br />
tracks with short clips.<br />
Research Question 5: Can combining <strong>lyrics</strong> <strong>and</strong> <strong>audio</strong> help reduce the amount of<br />
training data needed for effective <strong>classification</strong>, in terms of the number of training<br />
examples <strong>and</strong> <strong>audio</strong> length?<br />
To answer this question, performances of the hybrid <strong>and</strong> single-source-based systems are<br />
compared given incrementing numbers of training examples as well as <strong>audio</strong> clips with<br />
incrementing lengths extracted from the original tracks.<br />
1.3.6 Research Question Summary<br />
The five research questions are closely related <strong>and</strong> each is built upon the previous one.<br />
Together they answer the overarching question of how <strong>lyrics</strong> <strong>and</strong> <strong>social</strong> <strong>tags</strong> can help in <strong>music</strong><br />
<strong>mood</strong> <strong>classification</strong>. Figure 1.1 illustrates the connections among the research questions.<br />
1.4 CONTRIBUTIONS<br />
This dissertation is one of the first efforts in exploiting <strong>music</strong> associated text in classifying<br />
<strong>music</strong> in the <strong>mood</strong> dimension, <strong>and</strong> also is one of the first systematic evaluations of lyric features<br />
in <strong>music</strong> <strong>mood</strong> <strong>classification</strong>. Contributions can be classified into three levels: methodology,<br />
evaluation <strong>and</strong> application.<br />
11